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"affiliation": {}, "email": "" }, { "first": "Chengqing", "middle": [], "last": "Zong", "suffix": "", "affiliation": {}, "email": "" }, { "first": "Bowei", "middle": [], "last": "Zou", "suffix": "", "affiliation": {}, "email": "" }, { "first": "Wei", "middle": [], "last": "Zou", "suffix": "", "affiliation": {}, "email": "" }, { "first": "Arkaitz", "middle": [], "last": "Zubiaga", "suffix": "", "affiliation": {}, "email": "" }, { "first": "Pierre", "middle": [], "last": "Zweigenbaum", "suffix": "", "affiliation": {}, "email": "" }, { "first": "Liang", "middle": [], "last": "Huang", "suffix": "", "affiliation": {}, "email": "" } ], "year": "", "venue": null, "identifiers": {}, "abstract": "Welcome to ACL 2019, the 57th Annual Meeting of the Association for Computational Linguistics. This year the conference will be held on July 28-August 2, in the captivating city of Florence. This is the first time that the ACL annual conference visits Italy, and for this occasion, it has selected Florence, the capital of Italy's Tuscany region, and one of the most beautiful and visited art cities in the world. ACL 2019 received a record number of papers, close to three thousand, representing a sharp increase with respect to last year. At the moment of writing this letter, we are also expecting record attendance, with close to three thousand participants. This is a clear indicator of how vibrant and dynamic our field is at the moment. At the same time, this continuous growth poses a challenge to the organizers, who have to adapt quickly to numbers that surpass any previous estimation they had. I must say that the team of organizers worked very hard and very professionally in this complex scenario, with the goal of offering a conference program and setting that suit most of the participants. ACL needs to be large in many aspects, but at the same time it should be an enjoyable conference for all, and it should retain the original spirit of the ACL annual conferences. I hope the effort made will bring us close to this difficult double objective. As usual, the conference will span a six-day period, and it will include a varied program with 9 tutorials (July 28), 18 one-day workshops (August 1-2), the co-located Fourth Conference on Machine Translation (WMT19; August 1-2), the third Widening NLP workshop (WiNLP 2019; July 28), and the exciting main ACL program (July 29-31), which this year will present a record number of 660 original papers. Additionally, the main program of ACL will feature the Student Research Workshop and System Demonstrations, with 72 and 34 presentations, respectively. Finally, apart from the papers, ACL 2019 will enjoy also the contribution from two exceptional keynote speakers, Pascale Fung and Liang Huang, and it will see an ACL award ceremony with the Lifetime Achievement Award, the Distinguished Service Award, and the Test-of-Time paper awards. Each ACL conference is the culmination of a long process, which involves a large team of committed people. It is an honor for me to have coordinated such a team of talented people, who kindly volunteered their time to make this conference possible. I would like to thank each and every one of them. The Program Co-Chairs, Anna Korhonen and David Traum, did a superb job at managing the avalanche of submissions, putting together the program committee, and leading the paper selection process. The Local Co-Chairs, Alessandro Lenci, Bernardo Magnini, and Simonetta Montemagni, were crucial in coordinating with the PCO for all the local arrangements, which were very complex given the growing size of the conference. Fortunately, we all had the help and advice from Priscilla Rasmussen, the ACL Business Manager, who knows everything about ACL conferences, and how to make them a success. The ACL Executive Committee has also been very supportive all the time, providing timely guidance and help to solve the problems that arose in the way. I want to thank all of the other chairs for their dedication and hard work, more than often under a tight schedule:", "pdf_parse": { "paper_id": "P19-1000", "_pdf_hash": "", "abstract": [ { "text": "Welcome to ACL 2019, the 57th Annual Meeting of the Association for Computational Linguistics. This year the conference will be held on July 28-August 2, in the captivating city of Florence. This is the first time that the ACL annual conference visits Italy, and for this occasion, it has selected Florence, the capital of Italy's Tuscany region, and one of the most beautiful and visited art cities in the world. ACL 2019 received a record number of papers, close to three thousand, representing a sharp increase with respect to last year. At the moment of writing this letter, we are also expecting record attendance, with close to three thousand participants. This is a clear indicator of how vibrant and dynamic our field is at the moment. At the same time, this continuous growth poses a challenge to the organizers, who have to adapt quickly to numbers that surpass any previous estimation they had. I must say that the team of organizers worked very hard and very professionally in this complex scenario, with the goal of offering a conference program and setting that suit most of the participants. ACL needs to be large in many aspects, but at the same time it should be an enjoyable conference for all, and it should retain the original spirit of the ACL annual conferences. I hope the effort made will bring us close to this difficult double objective. As usual, the conference will span a six-day period, and it will include a varied program with 9 tutorials (July 28), 18 one-day workshops (August 1-2), the co-located Fourth Conference on Machine Translation (WMT19; August 1-2), the third Widening NLP workshop (WiNLP 2019; July 28), and the exciting main ACL program (July 29-31), which this year will present a record number of 660 original papers. Additionally, the main program of ACL will feature the Student Research Workshop and System Demonstrations, with 72 and 34 presentations, respectively. Finally, apart from the papers, ACL 2019 will enjoy also the contribution from two exceptional keynote speakers, Pascale Fung and Liang Huang, and it will see an ACL award ceremony with the Lifetime Achievement Award, the Distinguished Service Award, and the Test-of-Time paper awards. Each ACL conference is the culmination of a long process, which involves a large team of committed people. It is an honor for me to have coordinated such a team of talented people, who kindly volunteered their time to make this conference possible. I would like to thank each and every one of them. The Program Co-Chairs, Anna Korhonen and David Traum, did a superb job at managing the avalanche of submissions, putting together the program committee, and leading the paper selection process. The Local Co-Chairs, Alessandro Lenci, Bernardo Magnini, and Simonetta Montemagni, were crucial in coordinating with the PCO for all the local arrangements, which were very complex given the growing size of the conference. Fortunately, we all had the help and advice from Priscilla Rasmussen, the ACL Business Manager, who knows everything about ACL conferences, and how to make them a success. The ACL Executive Committee has also been very supportive all the time, providing timely guidance and help to solve the problems that arose in the way. I want to thank all of the other chairs for their dedication and hard work, more than often under a tight schedule:", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "Abstract", "sec_num": null } ], "body_text": [ { "text": "Welcome to the 57th Annual Meeting of the Association for Computational Linguistics! ACL 2019 has been a huge undertaking for the Program Committee (PC), but also very exciting as the conference has set new records on many fronts.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "Message from the Program Chairs", "sec_num": null }, { "text": "Anticipating a record number of submissions, we recruited the largest PC in the history of ACL. In November 2018, we issued a call for nominations for reviewers, Area Chairs (ACs) and Senior Area Chairs (SACs). By the deadline, we received 851 unique nominations that were used as a starting point for inviting members to the Program Committee. Our committee finally consisted of 2256 members! In order to manage such a large committee effectively we extended the ACL 2018 practice and created a structure similar to the conferences that have a Senior Program Committee alongside the Program Committee. For the Senior PC, we recruited a relatively large number of Senior Area Chairs (46 SACs, 2-4 to head each area) and Area Chairs (184 ACs, 3-15 per area). We also differentiated between their roles so that SACs assign papers to ACs and reviewers and make recommendations for their area, while ACs each manage a smaller set of papers within the area, lead discussions with reviewers, write meta-reviews and make initial recommendations for a smaller set of papers. This structure also helps to compensate for the problem that our rapidly growing field is suffering from: the lack of experienced reviewers. As ACs focus on a smaller number of papers, they can pay more attention to the review process. As for reviewers, we had many of them this year: 2281. Our 22 thematic areas had 59-319 reviewers each.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "Message from the Program Chairs", "sec_num": null }, { "text": "We also looked into ways of improving efficiency and the experience for both authors and PC members. In particular, we dropped the paper bidding phase that would require thousands of people to each examine hundreds of abstracts each over a short period of time. Like NAACL 2019, we also dropped the author response phase that was stressful for authors and time-consuming but not hugely impactful on a larger scale. Finally, we adopted much simpler, streamlined review form, adapted from EMNLP 2018 that encouraged thorough review, but was less laborious for reviewers.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "Message from the Program Chairs", "sec_num": null }, { "text": "On the submission deadline, we were very glad that we had recruited such large PC and had made all these improvements for increased efficiency: we received 2905 submissions -a 75% increase over ACL 2018 and an all-time record for ACL-related conferences! After the review process, out of the total 2905 submissions (some of which were withdrawn or rejected without review for formatting and policy violations), 660 papers were finally accepted to appear in the conference, resulting in the overall acceptance rate of 22.7%. This is a little lower than the acceptance rate for ACL 2018 (24.9%) or ACL 2017 (23.3%) -yet remarkably similar when we consider the dramatic increase in submissions this year. Among the 660 accepted papers, we have 447 long papers and 213 short papers. As in previous years the acceptance rate is higher for long than for short papers (25.7% vs. 18.3%). Overall, ACL continues to be a very competitive conference. Continuing the tradition, ACL 2019 will also feature presentation of 22 papers that were accepted for publication in the Transactions of the Association for Computational Linguistics (TACL) .", "cite_spans": [ { "start": 1123, "end": 1129, "text": "(TACL)", "ref_id": null } ], "ref_spans": [], "eq_spans": [], "section": "Message from the Program Chairs", "sec_num": null }, { "text": "There are many we wish to thank for their great contribution to ACL 2019!", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "Message from the Program Chairs", "sec_num": null }, { "text": "\u2022 The 46 SACs who did a massive job this year, equivalent in scope to duties of conference chairs from several years ago. They showed great patience with the increased workload (in the same brief schedule), working on weekends when necessary, and especially when our plan to replace paper bidding with TMPS didn't work as smoothly as we had hoped. Their input was instrumental in guiding the final decisions on papers, in selecting the outstanding papers and PC members, and in planning the conference program.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "Message from the Program Chairs", "sec_num": null }, { "text": "\u2022 The 184 ACs who worked hard on guiding discussions and writing meta-reviews and who kept our tight deadlines remarkably well.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "vii", "sec_num": null }, { "text": "\u2022 Our very hard-working reviewers who provided authors with valuable feedback. Special thanks to those reviewers who agreed to take on a larger than average workload this year!", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "vii", "sec_num": null }, { "text": "\u2022 Our amazing PC chair assistants who helped us manage the huge workload throughout this year: Simon Baker and Ehsan Shareghi. Thank you also to Qianchu Liu, Olga Majewska, Edoardo Ponti, Victor Prokhorov and Yi Zhu who stepped in to provide additional help at critical times.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "vii", "sec_num": null }, { "text": "\u2022 The thousands of authors who worked hard to submit their research for review. While we could only accept a fraction of the submissions, we appreciate the hard work that went into many of the others.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "vii", "sec_num": null }, { "text": "\u2022 TACL editors-in-chief Mark Johnson, Lillian Lee, and Brian Roark, for coordinating the TACL presentations with us", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "vii", "sec_num": null }, { "text": "\u2022 The program co-chairs of ACL 2018, Iryna Gurevych and Yusuke Miyao, who provided us with enormously useful advice throughout the year, and often with very short notice!", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "vii", "sec_num": null }, { "text": "\u2022 Other recent *ACL and EMNLP chairs who provided additional perspectives, documentation, advice and answers to questions, particularly Amanda Stent, Noah Smith, Julia Hockenmaier, and David Chiang.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "vii", "sec_num": null }, { "text": "\u2022 Douwe Kiela and Ivan Vuli\u0107, our super-organized publication chairs.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "vii", "sec_num": null }, { "text": "\u2022 Elena Cabrio and Rachele Sprugnoli for their help with the conference handbook.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "vii", "sec_num": null }, { "text": "\u2022 Rich Gerber at SoftConf, who worked quickly and tirelessly to add new features to accommodate our new AC role and quickly resolve any difficulties we encountered with the START system.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "vii", "sec_num": null }, { "text": "\u2022 Priscilla Rasmussen, Alessandro Lenci, Bernardo Magnini and Simonetta Montemagni for their helpful advice on issues involving the conference venue and local organization.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "vii", "sec_num": null }, { "text": "\u2022 The ACL Executive, particularly Marti Hearst, the president when we started planning the conference, and Barbara Di Eugenio, the liaison for conferences to help us sort through policy issues.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "vii", "sec_num": null }, { "text": "\u2022 Felice Dell'Orletta, Lucia Passaro, and Sara Tonelli for their great support with communications and social media. is widely used in many scenarios including multilateral organizations (UN/EU), international summits (APEC/G-20), legal proceedings, and press conferences. However, it is well known to be one of the most challenging tasks for humans due to the simultaneous perception and production in two languages. As a result, there are only a few thousand professional simultaneous interpreters world-wide, and each of them can only sustain for 15-30 minutes in each turn. On the other hand, simultaneous translation (either speech-to-text or speech-to-speech) is also notoriously difficult for machines and has remained one of the holy grails of AI. A key challenge here is the word order difference between the source and target languages. For example, if you simultaneously translate German (an SOV language) to English (an SVO language), you often have to wait for the sentence-final German verb. Therefore, most existing \"real-time\" translation systems resort to conventional full-sentence translation, causing an undesirable latency of at least one sentence, rendering the audience largely out of sync with the speaker. There have been efforts towards genuine simultaneous translation, but with limited success. Abstract: From HAL in \"2001:Space Odyssey\" to Samantha in \"Her\", conversational systems have always captured the public's imagination as the ultimate intelligent machine. The famous Turing Test was designed to determine whether a machine \"thinks\" like human or not, based on natural conversation between human and a machine. With the advent of smart devices, conversational systems are suddenly everywhere, talking and responding to us from our phones, speakers, cars and call centers. Meanwhile, the public is also becoming increasingly concerned about privacy and security issues of these systems.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "vii", "sec_num": null }, { "text": "In the decades since the first DARPA Communicator project, conversational systems come in many different forms. Whereas research systems are predominantly based on deep learning approaches today, most of the commercial systems from the US and Asia are still using template-based and retrieval-based approaches. Recent advances in such systems include endowing them with the ability to (1) learn to memorize; (2) learn to personalize; and (3) learn to empathize. In all aspects of R&D in this area, we encounter the challenge of a lack of well-balanced and well-labeled data. Hence, multi-task and metalearning have been proposed as possible solutions.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "vii", "sec_num": null }, { "text": "In this talk, I will give an overview of some of the technical challenges, approaches and applications of conversational systems, and the debates on ethical issues surrounding them. I will also highlight some of the cultural differences in this area and discuss how we can collaborate internationally to build conversational systems that are secure, safe, and fair for all. Fung's work has always been focused on building intelligent systems that can understand and empathize with humans. Her specific areas of research are using statistical modelling and deep learning for natural language processing, spoken language systems, emotion and sentiment recognition. Pascale Fung has applied many of her research group's results in the fields of, among others, robotics, IoT, and financial analytics. Her efforts led to the launch of the world's first Chinese natural language search engine in 2001, the first Chinese virtual assistant for smartphones in 2010, and the first emotional intelligent speaker in 2017. Pascale Fung is a faculty expert for the World Economic Forum, and is a member of the Partnership on AI for the Benefit of Humanity and Society. She has been invited as an AI expert to different government initiatives in China, Japan, the UAE, India, the European Union and the United Nations. She has spoken extensively on using AI for public good and on the need for international collaborations in this area. 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Curran . 5176", "links": null }, "BIBREF325": { "ref_id": "b325", "title": "Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks Hongyu Lin", "authors": [ { "first": "Yaojie", "middle": [], "last": "Lu", "suffix": "" }, { "first": "Xianpei", "middle": [], "last": "Han", "suffix": "" }, { "first": "Le", "middle": [], "last": "Sun", "suffix": "" }, { "first": ".", "middle": [ "." ], "last": "", "suffix": "" } ], "year": null, "venue": "", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks Hongyu Lin, Yaojie Lu, Xianpei Han and Le Sun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5182", "links": null }, "BIBREF326": { "ref_id": "b326", "title": "Improving Textual Network Embedding with Global Attention via Optimal Transport Liqun Chen, Guoyin Wang, Chenyang Tao", "authors": [], "year": null, "venue": "", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Improving Textual Network Embedding with Global Attention via Optimal Transport Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin", "links": null }, "BIBREF327": { "ref_id": "b327", "title": "5193 Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction Yufang Hou", "authors": [ { "first": "Yizhe", "middle": [], "last": "Wang", "suffix": "" }, { "first": "Lawrence", "middle": [], "last": "Zhang", "suffix": "" }, { "first": "", "middle": [ "." ], "last": "Carin", "suffix": "" }, { "first": "Martin", "middle": [], "last": "Charles Jochim", "suffix": "" }, { "first": "Francesca", "middle": [], "last": "Gleize", "suffix": "" }, { "first": "Debasis", "middle": [], "last": "Bonin", "suffix": "" }, { "first": "", "middle": [ ". . ." ], "last": "Ganguly", "suffix": "" } ], "year": null, "venue": "", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Wang, Yizhe Zhang and Lawrence Carin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5193 Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin and Debasis Ganguly . . . . . . . . 5203", "links": null }, "BIBREF328": { "ref_id": "b328", "title": "Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title Huimin Xu", "authors": [ { "first": "Wenting", "middle": [], "last": "Wang", "suffix": "" }, { "first": "Xin", "middle": [], "last": "Mao", "suffix": "" }, { "first": "Xinyu", "middle": [], "last": "Jiang", "suffix": "" }, { "first": "Man", "middle": [ ". ." ], "last": "Lan", "suffix": "" } ], "year": null, "venue": "", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extrac- tion from Product Title Huimin Xu, Wenting Wang, Xin Mao, Xinyu Jiang and Man Lan . . . . . . . . . . . . . . . . . . . . . . . . . . 5214", "links": null }, "BIBREF329": { "ref_id": "b329", "title": "Incorporating Linguistic Constraints into Keyphrase Generation Jing", "authors": [ { "first": "Yuxiang", "middle": [], "last": "Zhao", "suffix": "" }, { "first": ".", "middle": [ "." ], "last": "Zhang", "suffix": "" } ], "year": null, "venue": "", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Incorporating Linguistic Constraints into Keyphrase Generation Jing Zhao and Yuxiang Zhang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5224", "links": null }, "BIBREF330": { "ref_id": "b330", "title": "Dialogue and Interactive Systems 1 -Neural Conversation Models 10:30-10:50 One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues Chongyang Tao", "authors": [ { "first": "Wei", "middle": [], "last": "Wu", "suffix": "" }, { "first": "Can", "middle": [], "last": "Xu", "suffix": "" }, { "first": "Wenpeng", "middle": [], "last": "Hu", "suffix": "" }, { "first": "Dongyan", "middle": [], "last": "Zhao", "suffix": "" }, { "first": "Rui", "middle": [], "last": "Yan", "suffix": "" } ], "year": 2019, "venue": "43 Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal", "volume": "10", "issue": "", "pages": "43--54", "other_ids": {}, "num": null, "urls": [], "raw_text": "Conference Program Monday, July 29, 2019 08:00-08:45 Registration 08:45-10:00 Conference Opening and ACL Presidential Address 10:00-10:30 Break 10:30-12:10 Session 1A: Dialogue and Interactive Systems 1 -Neural Conversation Models 10:30-10:50 One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over- Interaction Network for Response Selection in Dialogues Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao and Rui Yan 10:50-11:10 Incremental Transformer with Deliberation Decoder for Document Grounded Con- versations Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li and Jie Zhou 11:10-11:30 Improving Multi-turn Dialogue Modelling with Utterance ReWriter Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu and Jie Zhou 11:30-11:43 Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar and Yoshua Bengio 11:43-11:56 Boosting Dialog Response Generation Wenchao Du and Alan W Black 11:56-12:09 Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Se- lection Junyu Lu, Chenbin Zhang, Zeying Xie, Guang Ling, Tom Chao Zhou and Zenglin Xu lxv", "links": null }, "BIBREF331": { "ref_id": "b331", "title": "Semantic Expressive Capacity with Bounded Memory Antoine Venant and Alexander Koller 11:10-11:30 AMR Parsing as Sequence-to-Graph Transduction Sheng Zhang, Xutai Ma, Kevin Duh and Benjamin Van Durme 11:30-11:50 Generating Logical Forms from Graph Representations of Text and Entities", "authors": [ { "first": "Su", "middle": [], "last": "Monday", "suffix": "" }, { "first": "Chen", "middle": [], "last": "Zhu", "suffix": "" }, { "first": "Jieyu", "middle": [], "last": "Liu", "suffix": "" }, { "first": "Kai Yu ; Peter", "middle": [], "last": "Li", "suffix": "" }, { "first": "Philip", "middle": [], "last": "Shaw", "suffix": "" }, { "first": "Angelica", "middle": [], "last": "Massey", "suffix": "" }, { "first": "", "middle": [], "last": "Chen ; Pengyu", "suffix": "" }, { "first": "Dhanasekar", "middle": [], "last": "Cheng", "suffix": "" }, { "first": "Xinyuan", "middle": [], "last": "Sundararaman", "suffix": "" }, { "first": "Qian", "middle": [], "last": "Zhang", "suffix": "" }, { "first": "Meng", "middle": [], "last": "Yang", "suffix": "" }, { "first": "", "middle": [], "last": "Tang", "suffix": "" } ], "year": 2019, "venue": "50 The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers Agnieszka Falenska and Jonas Kuhn", "volume": "10", "issue": "", "pages": "50--62", "other_ids": {}, "num": null, "urls": [], "raw_text": "Monday, July 29, 2019 (continued) 10:30-12:10 Session 1B: Sentence-level Semantics 10:30-10:50 Semantic Parsing with Dual Learning Ruisheng Cao, Su Zhu, Chen Liu, Jieyu Li and Kai Yu 10:50-11:10 Semantic Expressive Capacity with Bounded Memory Antoine Venant and Alexander Koller 11:10-11:30 AMR Parsing as Sequence-to-Graph Transduction Sheng Zhang, Xutai Ma, Kevin Duh and Benjamin Van Durme 11:30-11:50 Generating Logical Forms from Graph Representations of Text and Entities Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno and Yasemin Altun 11:50-12:10 Learning Compressed Sentence Representations for On-Device Text Processing Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz and Lawrence Carin 10:30-12:10 Session 1C: Tagging, Chunking, Syntax and Parsing 1 10:30-10:50 The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers Agnieszka Falenska and Jonas Kuhn 10:50-11:10 Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima and Daisuke Bekki 11:10-11:30 A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierar- chy Genady Beryozkin, Yoel Drori, Oren Gilon, Tzvika Hartman and Idan Szpektor 11:30-11:50 Massively Multilingual Transfer for NER Afshin Rahimi, Yuan Li and Trevor Cohn 11:50-12:10 Reliability-aware Dynamic Feature Composition for Name Tagging Ying Lin, Liyuan Liu, Heng Ji, Dong Yu and Jiawei Han", "links": null }, "BIBREF332": { "ref_id": "b332", "title": ":10 [TACL] Learning End-to-End Goal-Oriented Dialog with Maximal User Task Success and Minimal Human Agent Use Janarthanan Rajendran", "authors": [ { "first": "Tao", "middle": [], "last": "Monday ; Xu Tan", "suffix": "" }, { "first": "Xiang-Yang", "middle": [], "last": "Qin", "suffix": "" }, { "first": "Tie-Yan Liu ; Juntao", "middle": [], "last": "Li", "suffix": "" }, { "first": "Jon", "middle": [], "last": "Yu", "suffix": "" }, { "first": "Udo", "middle": [], "last": "Chamberlain", "suffix": "" }, { "first": "", "middle": [], "last": "Kruschwitz", "suffix": "" } ], "year": 2019, "venue": "50 Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White and Rajen Subba", "volume": "10", "issue": "", "pages": "50--64", "other_ids": { "DOI": [ "https://www.mitpressjournals.org/doi/pdfplus/10.1162/tacl_a_00274" ] }, "num": null, "urls": [], "raw_text": "Monday, July 29, 2019 (continued) 10:30-12:10 Session 1D: Machine Translation 1 10:30-10:50 Unsupervised Pivot Translation for Distant Languages Yichong Leng, Xu Tan, Tao Qin, Xiang-Yang Li and Tie-Yan Liu 10:50-11:10 Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg, Matthew R. Gormley and Graham Neubig 11:10-11:30 An Effective Approach to Unsupervised Machine Translation Monday, July 29, 2019 (continued) Crowdsourcing and Aggregating Nested Markable Annotations Chris Madge, Juntao Yu, Jon Chamberlain, Udo Kruschwitz, Silviu Paun and Mas- simo Poesio 10:30-12:10 Student Research Workshop Poster Session 1 12:10-13:50 Lunch 13:50-15:30 Session 2A: Dialogue and Interactive Systems 2 -Task-Oriented Dialogue 13:50-14:10 Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher and Pascale Fung 14:10-14:30 Multi-Task Networks with Universe, Group, and Task Feature Learning Shiva Pentyala, Mengwen Liu and Markus Dreyer 14:30-14:50 Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White and Rajen Subba 14:50-15:10 [TACL] Learning End-to-End Goal-Oriented Dialog with Maximal User Task Suc- cess and Minimal Human Agent Use Janarthanan Rajendran, Jatin Ganhotra and Lazaros C. Polymenakos 15:10-15:30 OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs Seungwhan Moon, Pararth Shah, Anuj Kumar and Rajen Subba 13:50-15:30 Session 2B: Textual Inference and Other Areas of Semantics 13:50-14:10 Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing Daya Guo, Duyu Tang, Nan Duan, Ming Zhou and Jian Yin 14:10-14:30 Knowledge-aware Pronoun Coreference Resolution Hongming Zhang, Yan Song, Yangqiu Song and Dong Yu lxxiii", "links": null }, "BIBREF333": { "ref_id": "b333", "title": ":30 SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference Martin", "authors": [ { "first": "Adam", "middle": [], "last": "Monday", "suffix": "" }, { "first": "Stuart", "middle": [], "last": "Poliak", "suffix": "" }, { "first": "Benjamin", "middle": [], "last": "Shieber", "suffix": "" }, { "first": "Alexander", "middle": [], "last": "Van Durme", "suffix": "" }, { "first": "Cheng", "middle": [], "last": "Rush ; Xu Han", "suffix": "" }, { "first": "Zhiyuan", "middle": [], "last": "Yang", "suffix": "" }, { "first": "Lifeng", "middle": [], "last": "Liu", "suffix": "" }, { "first": "", "middle": [], "last": "Wang", "suffix": "" } ], "year": 2019, "venue": "30 What Makes a Good Counselor? Learning to Distinguish between High-quality and Low-quality Counseling Conversations Ver\u00f3nica P\u00e9rez-Rosas", "volume": "14", "issue": "", "pages": "16--31", "other_ids": {}, "num": null, "urls": [], "raw_text": "Monday, July 29, 2019 (continued) 14:30-14:50 Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language In- ference Yonatan Belinkov, Adam Poliak, Stuart Shieber, Benjamin Van Durme and Alexan- der Rush 14:50-15:10 GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li and Maosong Sun 15:10-15:30 SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Nat- ural Language Inference Martin Schmitt and Hinrich Sch\u00fctze 13:50-15:30 Session 2C: Applications 1 -Health 13:50-14:10 Extracting Symptoms and their Status from Clinical Conversations Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen and Izhak Shafran 14:10-14:30 What Makes a Good Counselor? Learning to Distinguish between High-quality and Low-quality Counseling Conversations Ver\u00f3nica P\u00e9rez-Rosas, Xinyi Wu, Kenneth Resnicow and Rada Mihalcea 14:30-14:50 Finding Your Voice: The Linguistic Development of Mental Health Counselors Justine Zhang, Robert Filbin, Christine Morrison, Jaclyn Weiser and Cristian Danescu-Niculescu-Mizil 14:50-15:03 Towards Automating Healthcare Question Answering in a Noisy Multilingual Low- Resource Setting Jeanne E. Daniel, Willie Brink, Ryan Eloff and Charles Copley 15:03-15:16 Joint Entity Extraction and Assertion Detection for Clinical Text Parminder Bhatia, Busra Celikkaya and Mohammed Khalilia 15:16-15:29 HEAD-QA: A Healthcare Dataset for Complex Reasoning David Vilares and Carlos G\u00f3mez-Rodr\u00edguez lxxiv", "links": null }, "BIBREF334": { "ref_id": "b334", "title": "Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts Rui Xia and Zixiang Ding 15:10-15:30 Argument Invention from First Principles Yonatan Bilu", "authors": [ { "first": "Eyal", "middle": [], "last": "Monday ; Martin Gleize", "suffix": "" }, { "first": "Leshem", "middle": [], "last": "Shnarch", "suffix": "" }, { "first": "Lena", "middle": [], "last": "Choshen", "suffix": "" }, { "first": "Guy", "middle": [], "last": "Dankin", "suffix": "" }, { "first": ";", "middle": [], "last": "Moshkowich", "suffix": "" }, { "first": "Dalia", "middle": [], "last": "Haim", "suffix": "" }, { "first": "Orith", "middle": [], "last": "Krieger", "suffix": "" }, { "first": "Lilach", "middle": [], "last": "Toledo-Ronen", "suffix": "" }, { "first": "Yonatan", "middle": [], "last": "Edelstein", "suffix": "" }, { "first": "Alon", "middle": [], "last": "Bilu", "suffix": "" }, { "first": "Yoav", "middle": [], "last": "Halfon", "suffix": "" }, { "first": "Amir", "middle": [], "last": "Katz", "suffix": "" }, { "first": "", "middle": [], "last": "Menczel", "suffix": "" } ], "year": 2019, "venue": "50 Searching for Effective Neural Extractive Summarization: What Works and What's Next Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu and Xuanjing Huang", "volume": "14", "issue": "", "pages": "10--15", "other_ids": {}, "num": null, "urls": [], "raw_text": "Monday, July 29, 2019 (continued) 13:50-15:30 Session 2D: Sentiment Analysis and Argument Mining 1 13:50-14:10 Are You Convinced? Choosing the More Convincing Evidence with a Siamese Net- work Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov and Noam Slonim 14:10-14:30 From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Ex- pansion Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov and Noam Slonim 14:30-14:50 Multimodal and Multi-view Models for Emotion Recognition Gustavo Aguilar, Viktor Rozgic, Weiran Wang and Chao Wang 14:50-15:10 Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts Rui Xia and Zixiang Ding 15:10-15:30 Argument Invention from First Principles Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron and Noam Slonim 13:50-15:30 Session 2E: Summarization 1 13:50-14:10 Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization Sangwoo Cho, Logan Lebanoff, Hassan Foroosh and Fei Liu 14:10-14:30 Global Optimization under Length Constraint for Neural Text Summarization Takuya Makino, Tomoya Iwakura, Hiroya Takamura and Manabu Okumura 14:30-14:50 Searching for Effective Neural Extractive Summarization: What Works and What's Next Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu and Xuanjing Huang 14:50-15:10 A Simple Theoretical Model of Importance for Summarization Maxime Peyrard 15:10-15:30 Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstrac- tive Hierarchical Model Alexander Fabbri, Irene Li, Tianwei She, Suyi Li and Dragomir Radev", "links": null }, "BIBREF335": { "ref_id": "b335", "title": "Categorical Metadata Representation for Customized Text Classification Jihyeok Kim, Reinald Kim Amplayo, Kyungjae Lee, Sua Sung, Minji Seo and Seung-won Hwang 15:10-15:30 Text Categorization by Learning Predominant Sense of Words as Auxiliary Task Kazuya Shimura", "authors": [ { "first": "", "middle": [], "last": "Monday", "suffix": "" } ], "year": 2019, "venue": "Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency Shuhuai Ren", "volume": "14", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Monday, July 29, 2019 (continued) 13:50-15:30 Session 2F: Document Analysis 13:50-14:10 Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency Shuhuai Ren, Yihe Deng, Kun He and Wanxiang Che 14:10-14:30 Heuristic Authorship Obfuscation Janek Bevendorff, Martin Potthast, Matthias Hagen and Benno Stein 14:30-14:50 [TACL] SECTOR: A Neural Model for Coherent Topic Segmentation and Classifi- cation Sebastian Arnold, Rudolf Schneider, Philippe Cudr\u00e9-Mauroux, Felix A. Gers and Alexander L\u00f6ser 14:50-15:10 [TACL] Categorical Metadata Representation for Customized Text Classification Jihyeok Kim, Reinald Kim Amplayo, Kyungjae Lee, Sua Sung, Minji Seo and Seung-won Hwang 15:10-15:30 Text Categorization by Learning Predominant Sense of Words as Auxiliary Task Kazuya Shimura, Jiyi Li and Fumiyo Fukumoto 13:50-15:30 Poster Session 2", "links": null }, "BIBREF336": { "ref_id": "b336", "title": "Asif Ekbal and Pushpak Bhattacharyya Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion Suyoun Kim, Siddharth Dalmia and Florian Metze Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection Adith Iyer, Aditya Joshi, Sarvnaz Karimi, Ross Sparks and Cecile Paris Complex Word Identification as a Sequence Labelling Task Sian Gooding and Ekaterina Kochmar Neural News Recommendation with Topic-Aware News Representation Chuhan Wu", "authors": [], "year": null, "venue": "DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions Tirthankar Ghosal, Rajeev Verma", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions Tirthankar Ghosal, Rajeev Verma, Asif Ekbal and Pushpak Bhattacharyya Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion Suyoun Kim, Siddharth Dalmia and Florian Metze Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection Adith Iyer, Aditya Joshi, Sarvnaz Karimi, Ross Sparks and Cecile Paris Complex Word Identification as a Sequence Labelling Task Sian Gooding and Ekaterina Kochmar Neural News Recommendation with Topic-Aware News Representation Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang and Xing Xie", "links": null }, "BIBREF337": { "ref_id": "b337", "title": "Syntactically Supervised Transformers for Faster Neural Machine Translation Nader Akoury, Kalpesh Krishna and Mohit Iyyer Dynamically Composing Domain-Data Selection with Clean-Data Selection by \"Co-Curricular Learning\" for Neural Machine Translation Wei Wang, Isaac Caswell and Ciprian Chelba On the Word Alignment from Neural Machine Translation Xintong Li, Guanlin Li, Lemao Liu, Max Meng and Shuming Shi Imitation Learning for Non-Autoregressive Neural Machine Translation Bingzhen Wei", "authors": [ { "first": "Monday ; Jiatao", "middle": [], "last": "Gu", "suffix": "" }, { "first": "Yong", "middle": [], "last": "Wang", "suffix": "" }, { "first": "Kyunghyun", "middle": [], "last": "Cho", "suffix": "" }, { "first": "O", "middle": [ "K" ], "last": "Victor", "suffix": "" }, { "first": "", "middle": [], "last": "Li", "suffix": "" } ], "year": 2019, "venue": "(continued) Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies Yunsu Kim, Yingbo Gao and Hermann Ney Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Monday, July 29, 2019 (continued) Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies Yunsu Kim, Yingbo Gao and Hermann Ney Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correla- tions Jiatao Gu, Yong Wang, Kyunghyun Cho and Victor O.K. Li Syntactically Supervised Transformers for Faster Neural Machine Translation Nader Akoury, Kalpesh Krishna and Mohit Iyyer Dynamically Composing Domain-Data Selection with Clean-Data Selection by \"Co-Curricular Learning\" for Neural Machine Translation Wei Wang, Isaac Caswell and Ciprian Chelba On the Word Alignment from Neural Machine Translation Xintong Li, Guanlin Li, Lemao Liu, Max Meng and Shuming Shi Imitation Learning for Non-Autoregressive Neural Machine Translation Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin and Xu Sun Monotonic Infinite Lookback Attention for Simultaneous Machine Translation Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, Chung-Cheng Chiu, Semih Yavuz, Ruoming Pang, Wei Li and Colin Raffel [Information Extraction and Text Mining]", "links": null }, "BIBREF338": { "ref_id": "b338", "title": "Xifeng Yan and Yu Su Graph Neural Networks with Generated Parameters for Relation Extraction Hao", "authors": [ { "first": "Hanwen", "middle": [], "last": "Chen", "suffix": "" }, { "first": "Honglei", "middle": [], "last": "Zha", "suffix": "" }, { "first": "Wenhu", "middle": [], "last": "Liu", "suffix": "" }, { "first": "", "middle": [], "last": "Chen", "suffix": "" } ], "year": null, "venue": "Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data Wei Ye", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Global Textual Relation Embedding for Relational Understanding Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan and Yu Su Graph Neural Networks with Generated Parameters for Relation Extraction Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua and Maosong Sun Entity-Relation Extraction as Multi-Turn Question Answering Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou and Jiwei Li Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Ex- traction with Imbalanced Data Wei Ye, Bo Li, Rui Xie, Zhonghao Sheng, Long Chen and Shikun Zhang", "links": null }, "BIBREF340": { "ref_id": "b340", "title": "Exact Hard Monotonic Attention for Character-Level Transduction Shijie Wu and Ryan Cotterell A Lightweight Recurrent Network for Sequence Modeling Biao Zhang and Rico Sennrich Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria and Min Yang Soft Representation Learning for Sparse Transfer Haeju Park", "authors": [ { "first": "Aston", "middle": [], "last": "Zhang", "suffix": "" }, { "first": "Anh", "middle": [ "Tuan" ], "last": "Luu", "suffix": "" }, { "first": "Jinfeng", "middle": [], "last": "Rao", "suffix": "" }, { "first": "Shuai", "middle": [], "last": "Zhang", "suffix": "" }, { "first": "Shuohang", "middle": [], "last": "Wang", "suffix": "" } ], "year": null, "venue": "Improved Language Modeling by Decoding the Past Siddhartha Brahma Training Hybrid Language Models by Marginalizing over Segmentations Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski and Armand Joulin Improving Neural Language Models by Segmenting, Attending, and Predicting the Future Hongyin Luo", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Improved Language Modeling by Decoding the Past Siddhartha Brahma Training Hybrid Language Models by Marginalizing over Segmentations Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski and Armand Joulin Improving Neural Language Models by Segmenting, Attending, and Predicting the Future Hongyin Luo, Lan Jiang, Yonatan Belinkov and James Glass Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu and Siu Cheung Hui Sparse Sequence-to-Sequence Models Ben Peters, Vlad Niculae and Andr\u00e9 F. T. Martins On the Robustness of Self-Attentive Models Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu and Cho- Jui Hsieh Exact Hard Monotonic Attention for Character-Level Transduction Shijie Wu and Ryan Cotterell A Lightweight Recurrent Network for Sequence Modeling Biao Zhang and Rico Sennrich Towards Scalable and Reliable Capsule Networks for Challenging NLP Applica- tions Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria and Min Yang Soft Representation Learning for Sparse Transfer Haeju Park, Jinyoung Yeo, Gengyu Wang and Seung-won Hwang Learning Representations from Imperfect Time Series Data via Tensor Rank Regu- larization Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdi- nov and Louis-Philippe Morency", "links": null }, "BIBREF341": { "ref_id": "b341", "title": ":13 A Transparent Framework for Evaluating Unintended Demographic Bias in Word Embeddings Chris Sweeney and Maryam Najafian 17:13-17:26 The Risk of Racial Bias in Hate Speech Detection Maarten Sap", "authors": [ { "first": "Andrew", "middle": [], "last": "Monday", "suffix": "" }, { "first": "Shirlyn", "middle": [], "last": "Gaut", "suffix": "" }, { "first": "Yuxin", "middle": [], "last": "Tang", "suffix": "" }, { "first": "Mai", "middle": [], "last": "Huang", "suffix": "" }, { "first": "Jieyu", "middle": [], "last": "Elsherief", "suffix": "" }, { "first": "Diba", "middle": [], "last": "Zhao", "suffix": "" }, { "first": "Elizabeth", "middle": [], "last": "Mirza", "suffix": "" }, { "first": "Kai-Wei", "middle": [], "last": "Belding", "suffix": "" }, { "first": "William", "middle": [], "last": "Chang", "suffix": "" }, { "first": ";", "middle": [], "last": "Yang", "suffix": "" }, { "first": "J", "middle": [], "last": "Sebastian", "suffix": "" }, { "first": "Hanna", "middle": [], "last": "Mielke", "suffix": "" }, { "first": "Ryan Cotterell ; Dallas", "middle": [], "last": "Wallach", "suffix": "" }, { "first": "Saadia", "middle": [], "last": "Card", "suffix": "" }, { "first": "Yejin", "middle": [], "last": "Gabriel", "suffix": "" }, { "first": "Noah", "middle": [ "A" ], "last": "Choi", "suffix": "" } ], "year": 2019, "venue": "20 LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories Ignacio Iacobacci and", "volume": "16", "issue": "", "pages": "0--17", "other_ids": {}, "num": null, "urls": [], "raw_text": "Monday, July 29, 2019 (continued) 16:00-17:40 Session 3A: Bias in Language Processing 16:00-16:20 Mitigating Gender Bias in Natural Language Processing: Literature Review Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang and William Yang Wang 16:20-16:40 Gender-preserving Debiasing for Pre-trained Word Embeddings Masahiro Kaneko and Danushka Bollegala 16:40-17:00 Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Lan- guages with Rich Morphology Ran Zmigrod, Sebastian J. Mielke, Hanna Wallach and Ryan Cotterell 17:00-17:13 A Transparent Framework for Evaluating Unintended Demographic Bias in Word Embeddings Chris Sweeney and Maryam Najafian 17:13-17:26 The Risk of Racial Bias in Hate Speech Detection Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi and Noah A. Smith 17:26-17:39 Evaluating Gender Bias in Machine Translation Gabriel Stanovsky, Noah A. Smith and Luke Zettlemoyer 16:00-17:40 Session 3B: Word-level Semantics 1 16:00-16:20 LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories Ignacio Iacobacci and Roberto Navigli 16:20-16:40 Understanding Undesirable Word Embedding Associations Kawin Ethayarajh, David Duvenaud and Graeme Hirst 16:40-17:00 Unsupervised Discovery of Gendered Language through Latent-Variable Modeling Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach, Isabelle Au- genstein and Ryan Cotterell 17:00-17:20 Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings Vihari Piratla, Sunita Sarawagi and Soumen Chakrabarti", "links": null }, "BIBREF342": { "ref_id": "b342", "title": "Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach Pratik Jawanpuria, Arjun Balgovind", "authors": [ { "first": "D", "middle": [], "last": "Monday ; Arya", "suffix": "" }, { "first": "Damian", "middle": [], "last": "Mccarthy", "suffix": "" }, { "first": "", "middle": [], "last": "Blasi ; Bei", "suffix": "" }, { "first": "Tong", "middle": [], "last": "Li", "suffix": "" }, { "first": "Jingbo", "middle": [], "last": "Xiao", "suffix": "" }, { "first": "Changliang", "middle": [], "last": "Zhu", "suffix": "" }, { "first": "Derek", "middle": [ "F" ], "last": "Li", "suffix": "" }, { "first": "Lidia", "middle": [ "S" ], "last": "Wong", "suffix": "" } ], "year": 1920, "venue": "40 Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling Nasser Zalmout and Nizar Habash", "volume": "16", "issue": "", "pages": "13--17", "other_ids": {}, "num": null, "urls": [], "raw_text": "Monday, July 29, 2019 (continued) 17:20-17:40 SphereRE: Distinguishing Lexical Relations with Hyperspherical Relation Embed- dings Chengyu Wang, Xiaofeng He and Aoying Zhou 16:00-17:40 Session 3C: Multilinguality and Morphology 16:00-16:20 Multilingual Factor Analysis Francisco Vargas, Kamen Brestnichki, Alex Papadopoulos Korfiatis and Nils Ham- merla 16:20-16:40 [TACL] Learning Multilingual Word Embeddings in Latent Metric Space: A Geo- metric Approach Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan and Bamdev Mishra 16:40-17:00 Meaning to Form: Measuring Systematicity as Information Tiago Pimentel, Arya D. McCarthy, Damian Blasi, Brian Roark and Ryan Cotterell 17:00-17:20 Learning Morphosyntactic Analyzers from the Bible via Iterative Annotation Pro- jection across 26 Languages Garrett Nicolai and David Yarowsky 17:20-17:40 Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morpho- logical Modeling Nasser Zalmout and Nizar Habash 16:00-17:40 Session 3D: Machine Translation 2 16:00-16:20 Neural Machine Translation with Reordering Embeddings Kehai Chen, Rui Wang, Masao Utiyama and Eiichiro Sumita 16:20-16:40 Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation Bram Bulte and Arda Tezcan 16:40-17:00 Learning Deep Transformer Models for Machine Translation Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li, Derek F. Wong and Lidia S. Chao 17:00-17:13 Generating Diverse Translations with Sentence Codes Raphael Shu, Hideki Nakayama and Kyunghyun Cho 17:13-17:26 Self-Supervised Neural Machine Translation Dana Ruiter, Cristina Espa\u00f1a-Bonet and Josef van Genabith lxxxiii", "links": null }, "BIBREF343": { "ref_id": "b343", "title": "40 Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation Vihan Jain, Gabriel Magalhaes", "authors": [ { "first": "Matthias", "middle": [], "last": "Monday", "suffix": "" }, { "first": "Alan", "middle": [ "W" ], "last": "Sperber", "suffix": "" }, { "first": "Wenhan", "middle": [], "last": "Black ; Lin Ma", "suffix": "" }, { "first": "Kwan-Yee", "middle": [], "last": "Luo", "suffix": "" }, { "first": "", "middle": [], "last": "Kenneth", "suffix": "" } ], "year": 1920, "venue": "The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue Janosch Haber, Tim Baumg\u00e4rtner, Ece Takmaz, Lieke Gelderloos, Elia Bruni and Raquel Fern\u00e1ndez", "volume": "17", "issue": "", "pages": "0--17", "other_ids": {}, "num": null, "urls": [], "raw_text": "Monday, July 29, 2019 (continued) 17:26-17:39 Exploring Phoneme-Level Speech Representations for End-to-End Speech Transla- tion Elizabeth Salesky, Matthias Sperber and Alan W Black 16:00-17:40 Session 3E: Vision, Robotics, Multimodal, Grounding and Speech 16:00-16:20 Visually Grounded Neural Syntax Acquisition Haoyue Shi, Jiayuan Mao, Kevin Gimpel and Karen Livescu 16:20-16:40 Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation Vihan Jain, Gabriel Magalhaes, Alexander Ku, Ashish Vaswani, Eugene Ie and Ja- son Baldridge 16:40-17:00 Expressing Visual Relationships via Language Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui and Mohit Bansal 17:00-17:20 Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video Zhenfang Chen, Lin Ma, Wenhan Luo and Kwan-Yee Kenneth Wong 17:20-17:40 The PhotoBook Dataset: Building Common Ground through Visually-Grounded Di- alogue Janosch Haber, Tim Baumg\u00e4rtner, Ece Takmaz, Lieke Gelderloos, Elia Bruni and Raquel Fern\u00e1ndez 16:00-17:40 Session 3F: Machine Learning 2 16:00-16:20 Continual and Multi-Task Architecture Search Ramakanth Pasunuru and Mohit Bansal 16:20-16:40 Semi-supervised Stochastic Multi-Domain Learning using Variational Inference Yitong Li, Timothy Baldwin and Trevor Cohn 16:40-17:00 Boosting Entity Linking Performance by Leveraging Unlabeled Documents Phong Le and Ivan Titov 17:00-17:20 Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following David Gaddy and Dan Klein lxxxiv", "links": null }, "BIBREF344": { "ref_id": "b344", "title": "40 Reinforced Training Data Selection for Domain Adaptation Miaofeng Liu", "authors": [ { "first": "", "middle": [], "last": "Monday", "suffix": "" } ], "year": 2019, "venue": "", "volume": "17", "issue": "", "pages": "20--37", "other_ids": {}, "num": null, "urls": [], "raw_text": "Monday, July 29, 2019 (continued) 17:20-17:40 Reinforced Training Data Selection for Domain Adaptation Miaofeng Liu, Yan Song, Hongbin Zou and Tong Zhang 16:00-17:40 Poster Session 3", "links": null }, "BIBREF345": { "ref_id": "b345", "title": "Data-to-text Generation with Entity Modeling Ratish Puduppully, Li Dong and Mirella Lapata Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation Jiangjie Chen", "authors": [ { "first": "Junyi", "middle": [], "last": "Li", "suffix": "" }, { "first": "Wayne", "middle": [ "Xin" ], "last": "Zhao", "suffix": "" }, { "first": "Ji-Rong", "middle": [], "last": "Wen", "suffix": "" }, { "first": "Yang Song Paperrobot ; Lifu", "middle": [], "last": "Huang", "suffix": "" }, { "first": "Zhiying", "middle": [], "last": "Jiang", "suffix": "" }, { "first": "Kevin", "middle": [], "last": "Knight", "suffix": "" }, { "first": "Heng", "middle": [], "last": "Ji", "suffix": "" }, { "first": ";", "middle": [], "last": "Liu", "suffix": "" }, { "first": "Zuohui", "middle": [], "last": "Fu", "suffix": "" }, { "first": "Jie", "middle": [], "last": "Cao", "suffix": "" }, { "first": "Gerard", "middle": [], "last": "De Melo", "suffix": "" }, { "first": "Yik-Cheung", "middle": [], "last": "Tam", "suffix": "" }, { "first": "Cheng", "middle": [], "last": "Niu", "suffix": "" }, { "first": "Jie", "middle": [], "last": "Zhou", "suffix": "" } ], "year": null, "venue": "Suo Feng, Chenguang Li and Yanghua Xiao Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation Shuming Ma", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine De- coding Junyi Li, Wayne Xin Zhao, Ji-Rong Wen and Yang Song PaperRobot: Incremental Draft Generation of Scientific Ideas Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal and Yi Luan Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation Zhiqiang Liu, Zuohui Fu, Jie Cao, Gerard de Melo, Yik-Cheung Tam, Cheng Niu and Jie Zhou Enhancing Topic-to-Essay Generation with External Commonsense Knowledge Pengcheng Yang, Lei Li, Fuli Luo, Tianyu Liu and Xu Sun Towards Fine-grained Text Sentiment Transfer Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan, Baobao Chang, Zhifang Sui and Xu Sun Data-to-text Generation with Entity Modeling Ratish Puduppully, Li Dong and Mirella Lapata Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation Jiangjie Chen, Ao Wang, Haiyun Jiang, Suo Feng, Chenguang Li and Yanghua Xiao Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou and Xu Sun Unsupervised Neural Text Simplification Sai Surya, Abhijit Mishra, Anirban Laha, Parag Jain and Karthik Sankaranarayanan", "links": null }, "BIBREF347": { "ref_id": "b347", "title": "Zhen Huang and Dongsheng Li Multi-Hop Paragraph Retrieval for Open-Domain Question Answering Yair Feldman and Ran El-Yaniv E3: Entailment-driven Extracting and Editing for Conversational Machine Reading Victor Zhong and Luke Zettlemoyer Generating Question-Answer Hierarchies Kalpesh Krishna and Mohit Iyyer Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Atsushi Otsuka, Itsumi Saito, Hisako Asano and Junji Tomita Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension An Yang", "authors": [ { "first": "", "middle": [], "last": "Retrieve", "suffix": "" }, { "first": "Rerank", "middle": [], "last": "Read", "suffix": "" } ], "year": null, "venue": "", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Compre- hension Minghao Hu, Yuxing Peng, Zhen Huang and Dongsheng Li Multi-Hop Paragraph Retrieval for Open-Domain Question Answering Yair Feldman and Ran El-Yaniv E3: Entailment-driven Extracting and Editing for Conversational Machine Reading Victor Zhong and Luke Zettlemoyer Generating Question-Answer Hierarchies Kalpesh Krishna and Mohit Iyyer Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evi- dence Extraction Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Atsushi Otsuka, Itsumi Saito, Hisako Asano and Junji Tomita Enhancing Pre-Trained Language Representations with Rich Knowledge for Ma- chine Reading Comprehension An Yang, Quan Wang, Jing Liu, Kai Liu, Yajuan Lyu, Hua Wu, Qiaoqiao She and Sujian Li XQA: A Cross-lingual Open-domain Question Answering Dataset Jiahua Liu, Yankai Lin, Zhiyuan Liu and Maosong Sun", "links": null }, "BIBREF348": { "ref_id": "b348", "title": "Complex Program Induction for Querying Knowledge Bases in the Absence of Gold Programs Amrita Saha, Ghulam Ahmed Ansari, Abhishek Laddha, Karthik Sankaranarayanan and Soumen Chakrabarti [TACL] Trick Me If You Can: Human-in-the-loop Generation of Adversarial Question Answering Eric Wallace", "authors": [], "year": null, "venue": "", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Complex Program Induction for Querying Knowledge Bases in the Absence of Gold Programs Amrita Saha, Ghulam Ahmed Ansari, Abhishek Laddha, Karthik Sankaranarayanan and Soumen Chakrabarti [TACL] Trick Me If You Can: Human-in-the-loop Generation of Adversarial Ques- tion Answering Eric Wallace, Pedro Rodriguez, Shi Feng, Ikuya Yamada and Jordan Boyd-Graber [Tagging, Chunking, Syntax and Parsing]", "links": null }, "BIBREF349": { "ref_id": "b349", "title": ":30 Argument Generation with Retrieval, Planning, and Realization Xinyu Hua, Zhe Hu and Lu Wang 11:30-11:43 A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation Feng Nie", "authors": [ { "first": "Jin-Ge", "middle": [], "last": "Yao", "suffix": "" }, { "first": "Jinpeng", "middle": [], "last": "Wang ; Zhihan", "suffix": "" }, { "first": "Fuli", "middle": [], "last": "Zhang", "suffix": "" }, { "first": "Lei", "middle": [], "last": "Luo", "suffix": "" }, { "first": "M", "middle": [], "last": "Li ; Christian", "suffix": "" }, { "first": "Jan", "middle": [], "last": "Meyer", "suffix": "" }, { "first": "Michael", "middle": [], "last": "Kiesewetter", "suffix": "" }, { "first": "Elisabeth", "middle": [], "last": "Sailer", "suffix": "" }, { "first": "Martin", "middle": [ "R" ], "last": "Bauer", "suffix": "" }, { "first": "", "middle": [], "last": "Fischer", "suffix": "" } ], "year": 2010, "venue": "Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He and Bowen Zhou", "volume": "1", "issue": "", "pages": "30--41", "other_ids": {}, "num": null, "urls": [], "raw_text": "Compound Probabilistic Context-Free Grammars for Grammar Induction Yoon Kim, Chris Dyer and Alexander Rush Semi-supervised Domain Adaptation for Dependency Parsing Zhenghua Li, Xue Peng, Min Zhang, Rui Wang and Luo Si Head-Driven Phrase Structure Grammar Parsing on Penn Treebank Junru Zhou and Hai Zhao Tuesday, July 30, 2019 09:00-10:00 Invited Talk 1: Simultaneous Translation: Recent Advances and Remaining Challenges by Liang Huang 10:00-10:30 Break 10:30-12:10 Session 4A: Dialogue and Generation 10:30-10:50 Domain Adaptive Dialog Generation via Meta Learning Kun Qian and Zhou Yu 10:50-11:10 Strategies for Structuring Story Generation Angela Fan, Mike Lewis and Yann Dauphin 11:10-11:30 Argument Generation with Retrieval, Planning, and Realization Xinyu Hua, Zhe Hu and Lu Wang 11:30-11:43 A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation Feng Nie, Jin-Ge Yao, Jinpeng Wang, Rong Pan and Chin-Yew Lin 11:43-11:56 Cross-Modal Commentator: Automatic Machine Commenting Based on Cross- Modal Information Pengcheng Yang, Zhihan Zhang, Fuli Luo, Lei Li, Chengyang Huang and Xu Sun 11:56-12:09 A Working Memory Model for Task-oriented Dialog Response Generation Xiuyi Chen, Jiaming Xu and Bo Xu Tuesday, July 30, 2019 (continued) 10:30-12:10 Session 4B: Question Answering 1 -Multi-Hop 10:30-10:50 Cognitive Graph for Multi-Hop Reading Comprehension at Scale Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang and Jie Tang 10:50-11:10 Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He and Bowen Zhou 11:10-11:30 Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension Yichen Jiang, Nitish Joshi, Yen-Chun Chen and Mohit Bansal 11:30-11:50 Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model De- velopment for Multi-Hop QA Yichen Jiang and Mohit Bansal 11:50-12:10 Exploiting Explicit Paths for Multi-hop Reading Comprehension Souvik Kundu, Tushar Khot, Ashish Sabharwal and Peter Clark 10:30-12:10 Session 4C: Evaluation 10:30-10:50 Sentence Mover's Similarity: Automatic Evaluation for Multi-Sentence Texts Elizabeth Clark, Asli Celikyilmaz and Noah A. Smith 10:50-11:10 Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains Claudia Schulz, Christian M. Meyer, Jan Kiesewetter, Michael Sailer, Elisabeth Bauer, Martin R. Fischer, Frank Fischer and Iryna Gurevych 11:10-11:30 Deep Dominance -How to Properly Compare Deep Neural Models Rotem Dror, Segev Shlomov and Roi Reichart 11:30-11:43 We Need to Talk about Standard Splits Kyle Gorman and Steven Bedrick 11:43-11:56 Aiming beyond the Obvious: Identifying Non-Obvious Cases in Semantic Similarity Datasets Nicole Peinelt, Maria Liakata and Dong Nguyen", "links": null }, "BIBREF350": { "ref_id": "b350", "title": ":30 Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts Alakananda Vempala and Daniel Preo\u0163iuc-Pietro 11:30-11:43 Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates Sebastian Pad\u00f3, Andre Blessing, Nico Blokker, Erenay Dayanik", "authors": [ { "first": "Tuesday ; Jing", "middle": [], "last": "Li", "suffix": "" }, { "first": "Lu", "middle": [], "last": "Wang", "suffix": "" }, { "first": "Kam-Fai", "middle": [], "last": "Wong ; Hao", "suffix": "" }, { "first": "Xu", "middle": [], "last": "Zhu", "suffix": "" }, { "first": "", "middle": [], "last": "Han", "suffix": "" } ], "year": 2019, "venue": "CONAN -COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech Yi-Ling Chung", "volume": "11", "issue": "", "pages": "30--42", "other_ids": {}, "num": null, "urls": [], "raw_text": "Tuesday, July 30, 2019 (continued) 11:56-12:09 Putting Evaluation in Context: Contextual Embeddings Improve Machine Transla- tion Evaluation Nitika Mathur, Timothy Baldwin and Trevor Cohn 10:30-12:10 Session 4D: Social Media 1 10:30-10:50 Joint Effects of Context and User History for Predicting Online Conversation Re- entries Xingshan Zeng, Jing Li, Lu Wang and Kam-Fai Wong 10:50-11:10 CONAN -COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech Yi-Ling Chung, Elizaveta Kuzmenko, Serra Sinem Tekiroglu and Marco Guerini 11:10-11:30 Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts Alakananda Vempala and Daniel Preo\u0163iuc-Pietro 11:30-11:43 Who Sides with Whom? Towards Computational Construction of Discourse Net- works for Political Debates Sebastian Pad\u00f3, Andre Blessing, Nico Blokker, Erenay Dayanik, Sebastian Haunss and Jonas Kuhn 11:43-11:56 Analyzing Linguistic Differences between Owner and Staff Attributed Tweets Daniel Preo\u0163iuc-Pietro and Rita Devlin Marier 11:56-12:09 Exploring Author Context for Detecting Intended vs Perceived Sarcasm Silviu Oprea and Walid Magdy Tuesday, July 30, 2019 (continued) 10:30-12:10 Session 4E: Information Extraction and Text Mining 2 10:30-10:50 Open Domain Event Extraction Using Neural Latent Variable Models Xiao Liu, Heyan Huang and Yue Zhang 10:50-11:10 Multi-Level Matching and Aggregation Network for Few-Shot Relation Classifica- tion Zhi-Xiu Ye and Zhen-Hua Ling 11:10-11:30 Quantifying Similarity between Relations with Fact Distribution Weize Chen, Hao Zhu, Xu Han, Zhiyuan Liu and Maosong Sun 11:30-11:50 Matching the Blanks: Distributional Similarity for Relation Learning Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling and Tom Kwiatkowski 11:50-12:10 Fine-Grained Temporal Relation Extraction Siddharth Vashishtha, Benjamin Van Durme and Aaron Steven White 10:30-12:10 Session 4F: Machine Learning 3 10:30-10:50 FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algo- rithms Henry Moss, Andrew Moore, David Leslie and Paul Rayson 10:50-11:10 Is Attention Interpretable? Sofia Serrano and Noah A. Smith 11:10-11:30 Correlating Neural and Symbolic Representations of Language Grzegorz Chrupa\u0142a and Afra Alishahi 11:30-11:50 Interpretable Neural Predictions with Differentiable Binary Variables Joost Bastings, Wilker Aziz and Ivan Titov 11:50-12:10 Transformer-XL: Attentive Language Models beyond a Fixed-Length Context Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc Le and Ruslan Salakhutdinov Tuesday, July 30, 2019 (continued) 10:30-12:10 Poster Session 4 [Machine Translation]", "links": null }, "BIBREF351": { "ref_id": "b351", "title": ":30 HighRES: Highlight-based Reference-less Evaluation of Summarization Hardy Hardy, Shashi Narayan and Andreas Vlachos 14:30-14:50 EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing Yue Dong", "authors": [ { "first": "Yang", "middle": [], "last": "Shao", "suffix": "" }, { "first": "Jinchao", "middle": [], "last": "Feng", "suffix": "" }, { "first": "Fandong", "middle": [], "last": "Zhang", "suffix": "" }, { "first": "Xilin", "middle": [], "last": "Meng", "suffix": "" }, { "first": "Jie", "middle": [], "last": "Chen", "suffix": "" }, { "first": "Stacl ; Liang", "middle": [], "last": "Zhou", "suffix": "" }, { "first": "Hao", "middle": [], "last": "Huang", "suffix": "" }, { "first": "Renjie", "middle": [], "last": "Xiong", "suffix": "" }, { "first": "Kaibo", "middle": [], "last": "Zheng", "suffix": "" }, { "first": "Baigong", "middle": [], "last": "Liu", "suffix": "" }, { "first": "Chuanqiang", "middle": [], "last": "Zheng", "suffix": "" }, { "first": "Zhongjun", "middle": [], "last": "Zhang", "suffix": "" }, { "first": "Hairong", "middle": [], "last": "He", "suffix": "" }, { "first": "Xing", "middle": [], "last": "Liu", "suffix": "" }, { "first": "", "middle": [], "last": "Li", "suffix": "" } ], "year": 2019, "venue": "Chenghao Liu and Jianling Sun Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation Chenze", "volume": "10", "issue": "", "pages": "10--15", "other_ids": { "DOI": [ "https://www.mitpressjournals.org/doi/pdfplus/10.1162/tacl_a_00272" ] }, "num": null, "urls": [], "raw_text": "Domain Adaptation of Neural Machine Translation by Lexicon Induction Junjie Hu, Mengzhou Xia, Graham Neubig and Jaime Carbonell Reference Network for Neural Machine Translation Han Fu, Chenghao Liu and Jianling Sun Retrieving Sequential Information for Non-Autoregressive Neural Machine Trans- lation Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen and Jie Zhou STACL: Simultaneous Translation with Implicit Anticipation and Controllable La- tency using Prefix-to-Prefix Framework Mingbo Ma, Liang Huang, Hao Xiong, Renjie Zheng, Kaibo Liu, Baigong Zheng, Chuanqiang Zhang, Zhongjun He, Hairong Liu, Xing Li, Hua Wu and Haifeng Wang Look Harder: A Neural Machine Translation Model with Hard Attention Tuesday, July 30, 2019 (continued) 10:30-12:10 Student Research Workshop Poster Session 2 12:10-13:50 Lunch 13:50-15:30 Session 5A: Generation 1 13:50-14:10 [TACL] Probabilistic Verb Selection for Data-to-Text Generation Dell Zhang, Jiahao Yuan, Xiaoling Wang and Adam Foster 14:10-14:30 HighRES: Highlight-based Reference-less Evaluation of Summarization Hardy Hardy, Shashi Narayan and Andreas Vlachos 14:30-14:50 EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing Yue Dong, Zichao Li, Mehdi Rezagholizadeh and Jackie Chi Kit Cheung 14:50-15:10 Decomposable Neural Paraphrase Generation Zichao Li, Xin Jiang, Lifeng Shang and Qun Liu 15:10-15:30 Transforming Complex Sentences into a Semantic Hierarchy Christina Niklaus, Matthias Cetto, Andr\u00e9 Freitas and Siegfried Handschuh 13:50-15:30 Session 5B: Semantics 13:50-14:10 [TACL] No Word is an Island -A Transformation Weighting Model for Semantic Composition Corina Dima, Dani\u00ebl de Kok, Neele Witte and Erhard Hinrichs 14:10-14:30 [TACL] Syntax-aware Semantic Role Labeling without Parsing Rui Cai and Mirella Lapata 14:30-14:50 Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference Tom McCoy, Ellie Pavlick and Tal Linzen 14:50-15:10 Zero-Shot Entity Linking by Reading Entity Descriptions Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin and Honglak Lee 15:10-15:30 [TACL] Learning Typed Entailment Graphs with Global Soft Constraints Mohammad Javad Hosseini, Nathanael Chambers, Siva Reddy, Xavier R. Holt, Shay B. Cohen, Mark Johnson and Mark Steedman", "links": null }, "BIBREF352": { "ref_id": "b352", "title": ":10 A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction Mengjie Zhao and Hinrich Sch\u00fctze 14:10-14:30 Tree Communication Models for Sentiment Analysis Yuan Zhang and Yue Zhang 14:30-14:50 Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text Bidisha Samanta", "authors": [ { "first": "Tuesday ; Hao", "middle": [], "last": "Zhang", "suffix": "" }, { "first": "Di", "middle": [], "last": "Jin", "suffix": "" }, { "first": "Hongyuan", "middle": [], "last": "Zhu ; Sujian", "suffix": "" }, { "first": "Fangzhao", "middle": [], "last": "Li", "suffix": "" }, { "first": "", "middle": [], "last": "Wu", "suffix": "" } ], "year": 2019, "venue": "Joint Transition-Based Models for Morpho-Syntactic Parsing: Parsing Strategies for MRLs and a Case Study from Modern Hebrew Amir More, Amit Seker", "volume": "2", "issue": "", "pages": "10--15", "other_ids": {}, "num": null, "urls": [], "raw_text": "Tuesday, July 30, 2019 (continued) 13:50-15:30 Session 5C: Tagging, Chunking, Syntax and Parsing 2 13:50-14:10 [TACL] Joint Transition-Based Models for Morpho-Syntactic Parsing: Parsing Strategies for MRLs and a Case Study from Modern Hebrew Amir More, Amit Seker, Victoria Basmova and Reut Tsarfaty 14:10-14:30 Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh and Kenneth Kwok 14:30-14:50 Scalable Syntax-Aware Language Models Using Knowledge Distillation Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark and Phil Blunsom 14:50-15:03 An Imitation Learning Approach to Unsupervised Parsing Bowen Li, Lili Mou and Frank Keller 15:03-15:16 Women's Syntactic Resilience and Men's Grammatical Luck: Gender-Bias in Part- of-Speech Tagging and Dependency Parsing Aparna Garimella, Carmen Banea, Dirk Hovy and Rada Mihalcea 15:16-15:29 Multilingual Constituency Parsing with Self-Attention and Pre-Training Nikita Kitaev, Steven Cao and Dan Klein 13:50-15:30 Session 5D: Sentiment Analysis and Argument Mining 2 13:50-14:10 A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction Mengjie Zhao and Hinrich Sch\u00fctze 14:10-14:30 Tree Communication Models for Sentiment Analysis Yuan Zhang and Yue Zhang 14:30-14:50 Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text Bidisha Samanta, Niloy Ganguly and Soumen Chakrabarti 14:50-15:10 Exploring Sequence-to-Sequence Learning in Aspect Term Extraction Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie and Houfeng Wang 15:10-15:30 Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidi- rectional Attention Network Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang and Guodong Zhou c", "links": null }, "BIBREF353": { "ref_id": "b353", "title": ":30 Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension Daesik Kim, Seonhoon Kim and Nojun Kwak 14:30-14:50 Generating Question Relevant Captions to Aid Visual Question Answering Jialin Wu", "authors": [ { "first": "Ethan", "middle": [], "last": "Tuesday ; Yacine Jernite", "suffix": "" }, { "first": "David", "middle": [], "last": "Perez", "suffix": "" }, { "first": "Jason", "middle": [], "last": "Grangier", "suffix": "" }, { "first": "Michael Auli ; Jianhui", "middle": [], "last": "Weston", "suffix": "" }, { "first": "Yuqing", "middle": [], "last": "Huang", "suffix": "" }, { "first": "", "middle": [], "last": "Guo ; Longyue", "suffix": "" }, { "first": "Derek", "middle": [ "F" ], "last": "Wang", "suffix": "" }, { "first": "Lidia", "middle": [ "S" ], "last": "Wong", "suffix": "" }, { "first": "Zhaopeng", "middle": [], "last": "Chao", "suffix": "" } ], "year": 2019, "venue": "16 Psycholinguistics Meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering Claudio Greco", "volume": "14", "issue": "", "pages": "50--65", "other_ids": {}, "num": null, "urls": [], "raw_text": "Tuesday, July 30, 2019 (continued) 13:50-15:30 Session 5E: Visual and Multimodal Question Answering 13:50-14:10 ELI5: Long Form Question Answering Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston and Michael Auli 14:10-14:30 Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension Daesik Kim, Seonhoon Kim and Nojun Kwak 14:30-14:50 Generating Question Relevant Captions to Aid Visual Question Answering Jialin Wu, Zeyuan Hu and Raymond Mooney 14:50-15:03 Multi-grained Attention with Object-level Grounding for Visual Question Answering Pingping Huang, Jianhui Huang, Yuqing Guo, Min Qiao and Yong Zhu 15:03-15:16 Psycholinguistics Meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering Claudio Greco, Barbara Plank, Raquel Fern\u00e1ndez and Raffaella Bernardi 15:16-15:29 Improving Visual Question Answering by Referring to Generated Paragraph Cap- tions Hyounghun Kim and Mohit Bansal 13:50-15:30 Session 5F: Multidisciplinary 13:50-14:10 Shared-Private Bilingual Word Embeddings for Neural Machine Translation Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao and Jingbo Zhu 14:10-14:30 Literary Event Detection Matthew Sims, Jong Ho Park and David Bamman 14:30-14:50 Assessing the Ability of Self-Attention Networks to Learn Word Order Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao and Zhaopeng Tu 14:50-15:03 Energy and Policy Considerations for Deep Learning in NLP Emma Strubell, Ananya Ganesh and Andrew McCallum", "links": null }, "BIBREF354": { "ref_id": "b354", "title": "Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers and Ido Dagan 11:10-11:30 A Unified Linear-Time Framework for Sentence-Level Discourse Parsing Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram and M Saiful Bari 11:30-11:43 Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings Linh The Nguyen, Linh Van Ngo", "authors": [ { "first": "Tuesday ; Chatbot! Braden", "middle": [], "last": "Hancock", "suffix": "" }, { "first": "Antoine", "middle": [], "last": "Bordes", "suffix": "" }, { "first": "Pierre-Emmanuel", "middle": [], "last": "Mazare", "suffix": "" }, { "first": "Jason Weston Generating ; Xiaoqing", "middle": [], "last": "Zheng", "suffix": "" }, { "first": "Lu", "middle": [], "last": "Liu", "suffix": "" }, { "first": ";", "middle": [], "last": "Chen", "suffix": "" }, { "first": "Jianshu", "middle": [], "last": "Chen", "suffix": "" }, { "first": "Pengda", "middle": [], "last": "Qin", "suffix": "" }, { "first": "Xifeng", "middle": [], "last": "Yan", "suffix": "" }, { "first": "William Yang Wang ; Jiajun", "middle": [], "last": "Zhang", "suffix": "" }, { "first": "Qian", "middle": [], "last": "Li", "suffix": "" }, { "first": "Mei-Yuh", "middle": [], "last": "Hwang", "suffix": "" }, { "first": "Chengqing", "middle": [], "last": "Zong", "suffix": "" }, { "first": "Zhifei", "middle": [], "last": "Li Recosa ; Madian Khabsa", "suffix": "" }, { "first": "Suma", "middle": [], "last": "Desu", "suffix": "" }, { "first": "Claire", "middle": [], "last": "Cardie", "suffix": "" }, { "first": "Michele", "middle": [], "last": "Banko", "suffix": "" }, { "first": "; Li", "middle": [], "last": "Dong", "suffix": "" }, { "first": "Furu", "middle": [], "last": "Wei", "suffix": "" }, { "first": "Wenhui", "middle": [], "last": "Wang ; Eric Wallace", "suffix": "" }, { "first": "Sameer", "middle": [], "last": "Singh", "suffix": "" }, { "first": "Matt", "middle": [], "last": "Gardner", "suffix": "" }, { "first": "Hannaneh", "middle": [], "last": "Hajishirzi", "suffix": "" }, { "first": "Luke Zettlemoyer ; Mo", "middle": [], "last": "Yu", "suffix": "" }, { "first": "Shiyu", "middle": [], "last": "Chang", "suffix": "" }, { "first": "Xiaoxiao", "middle": [], "last": "Guo", "suffix": "" }, { "first": "William Yang Wang ; Chenyu", "middle": [], "last": "Wang", "suffix": "" }, { "first": "Gan", "middle": [], "last": "Luo", "suffix": "" }, { "first": "Lei", "middle": [], "last": "Hou", "suffix": "" }, { "first": "Juanzi", "middle": [], "last": "Li", "suffix": "" } ], "year": 2019, "venue": "TIGS: An Inference Algorithm for Text Infilling with Gradient Search Dayiheng Liu, Jie Fu, Pengfei Liu and Jiancheng Lv Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder Ryan Benmalek", "volume": "15", "issue": "", "pages": "30--42", "other_ids": { "DOI": [ "https://www.mitpressjournals.org/doi/pdfplus/10.1162/tacl_a_00269" ] }, "num": null, "urls": [], "raw_text": "Tuesday, July 30, 2019 (continued) 15:03-15:16 What Does BERT Learn about the Structure of Language? Ganesh Jawahar, Beno\u00eet Sagot and Djam\u00e9 Seddah 15:16-15:29 A Just and Comprehensive Strategy for Using NLP to Address Online Abuse David Jurgens, Libby Hemphill and Eshwar Chandrasekharan 13:50-15:30 Poster Session 5 [Dialogue and Interactive Systems] Learning from Dialogue after Deployment: Feed Yourself, Chatbot! Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazare and Jason Weston Generating Responses with a Specific Emotion in Dialog Zhenqiao Song, Xiaoqing Zheng, Lu Liu, Mu Xu and Xuanjing Huang Semantically Conditioned Dialog Response Generation via Hierarchical Disentan- gled Self-Attention Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan and William Yang Wang Incremental Learning from Scratch for Task-Oriented Dialogue Systems Weikang Wang, Jiajun Zhang, Qian Li, Mei-Yuh Hwang, Chengqing Zong and Zhifei Li ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dia- logue Generation Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo and Xueqi Cheng Dialogue Natural Language Inference Tuesday, July 30, 2019 (continued) TIGS: An Inference Algorithm for Text Infilling with Gradient Search Dayiheng Liu, Jie Fu, Pengfei Liu and Jiancheng Lv Keeping Notes: Conditional Natural Language Generation with a Scratchpad En- coder Ryan Benmalek, Madian Khabsa, Suma Desu, Claire Cardie and Michele Banko 13:50-15:30 Demo Session 2 15:30-16:00 Break 16:00-17:20 Lifetime Acheivement Award +Talk and Test of Time Awards 17:20-17:30 Short Break 17:30-19:00 ACL Business Meeting 19:00-19:15 Break 19:15-late Social Event Wednesday, July 31, 2019 09:00-10:00 Invited Talk 2: Loquentes Machinis: Technology, Applications, and Ethics of Conversational Systems by Pascale Fung 10:00-10:30 Break 10:30-12:10 Session 6A: Discourse and Pragmatics 10:30-10:50 Using Automatically Extracted Minimum Spans to Disentangle Coreference Evalu- ation from Boundary Detection Nafise Sadat Moosavi, Leo Born, Massimo Poesio and Michael Strube 10:50-11:10 Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolu- tion Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers and Ido Dagan 11:10-11:30 A Unified Linear-Time Framework for Sentence-Level Discourse Parsing Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram and M Saiful Bari 11:30-11:43 Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings Linh The Nguyen, Linh Van Ngo, Khoat Than and Thien Huu Nguyen 11:43-11:56 Do You Know That Florence Is Packed with Visitors? Evaluating State-of-the-art Models of Speaker Commitment Nanjiang Jiang and Marie-Catherine de Marneffe 11:56-12:09 Multi-Relational Script Learning for Discourse Relations I-Ta Lee and Dan Goldwasser Wednesday, July 31, 2019 (continued) 10:30-12:10 Session 6B: Question Answering 2 10:30-10:50 Open-Domain Why-Question Answering with Adversarial Learning to Encode An- swer Texts Jong-Hoon Oh, Kazuma Kadowaki, Julien Kloetzer, Ryu Iida and Kentaro Torisawa 10:50-11:10 Learning to Ask Unanswerable Questions for Machine Reading Comprehension Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin and Ting Liu 11:10-11:30 [TACL] Natural Questions: a Benchmark for Question Answering Research Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Matthew Kelcey, Jacob Devlin, Kenton Lee, Kristina N. Toutanova, Llion Jones, Ming-Wei Chang, Andrew Dai, Jakob Uszkoreit, Quoc Le and Slav Petrov 11:30-11:43 Compositional Questions Do Not Necessitate Multi-hop Reasoning Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi and Luke Zettlemoyer 11:43-11:56 Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo and William Yang Wang 11:56-12:09 AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing Xiang Zhang, Shizhu He, Kang Liu and Jun Zhao 10:30-12:10 Session 6C: Applications 2 10:30-10:50 The Language of Legal and Illegal Activity on the Darknet Leshem Choshen, Dan Eldad, Daniel Hershcovich, Elior Sulem and Omri Abend 10:50-11:10 Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis Junyi Du, He Jiang, Jiaming Shen and Xiang Ren 11:10-11:30 Course Concept Expansion in MOOCs with External Knowledge and Interactive Game Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Zhiyuan Liu and Jie Tang 11:30-11:43 Towards Near-imperceptible Steganographic Text Falcon Dai and Zheng Cai Wednesday, July 31, 2019 (continued) 11:43-11:56 Inter-sentence Relation Extraction with Document-level Graph Convolutional Neu- ral Network Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa and Sophia Ananiadou 11:56-12:09 Neural Legal Judgment Prediction in English Ilias Chalkidis, Ion Androutsopoulos and Nikolaos Aletras 10:30-12:10 Session 6D: Machine Translation 3 10:30-10:50 Robust Neural Machine Translation with Doubly Adversarial Inputs Yong Cheng, Lu Jiang and Wolfgang Macherey 10:50-11:10 Bridging the Gap between Training and Inference for Neural Machine Translation Wen Zhang, Yang Feng, Fandong Meng, Di You and Qun Liu 11:10-11:30 [TACL] Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation Xiao Pu, Nikolaos Pappas, James Henderson and Andrei Popescu-Belis 11:30-11:50 [TACL] Synchronous Bidirectional Neural Machine Translation Long Zhou, Jiajun Zhang and Chengqing Zong 11:50-12:10 Beyond BLEU:Training Neural Machine Translation with Semantic Similarity John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel and Graham Neubig 10:30-12:10 Session 6E: Information Extraction and Text Mining 3 10:30-10:50 AutoML Strategy Based on Grammatical Evolution: A Case Study about Knowledge Discovery from Text Suilan Estevez-Velarde, Yoan Guti\u00e9rrez, Andr\u00e9s Montoyo and Yudivi\u00e1n Almeida- Cruz 10:50-11:10 Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning Yaojie Lu, Hongyu Lin, Xianpei Han and Le Sun 11:10-11:30 Chinese Relation Extraction with Multi-Grained Information and External Linguis- tic Knowledge Ziran Li, Ning Ding, Zhiyuan Liu, Haitao Zheng and Ying Shen Wednesday, July 31, 2019 (continued) 11:30-11:43 A2N: Attending to Neighbors for Knowledge Graph Inference Trapit Bansal, Da-Cheng Juan, Sujith Ravi and Andrew McCallum 11:43-11:56 Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures Amir Pouran Ben Veyseh, Thien Huu Nguyen and Dejing Dou 11:56-12:09 Embedding Time Expressions for Deep Temporal Ordering Models Tanya Goyal and Greg Durrett 10:30-12:10 Session 6F: Machine Learning 4 10:30-10:50 Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data Moonsu Han, Minki Kang, Hyunwoo Jung and Sung Ju Hwang 10:50-11:10 Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu and Tiejun Zhao 11:10-11:30 Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur Parikh, Ali Farhadi and Han- naneh Hajishirzi 11:30-11:50 Language Modeling with Shared Grammar Yuyu Zhang and Le Song 11:50-12:10 [TACL] Densely Connected Graph Convolutional Networks for 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"first": "Berlin", "middle": [], "last": "Jin", "suffix": "" }, { "first": "Benjamin", "middle": [], "last": "Chen", "suffix": "" }, { "first": "Edouard", "middle": [], "last": "Van Durme", "suffix": "" }, { "first": "Ellie", "middle": [], "last": "Grave", "suffix": "" }, { "first": "Samuel", "middle": [ "R" ], "last": "Pavlick", "suffix": "" }, { "first": "Michihiro", "middle": [], "last": "Bowman ; Rui Zhang", "suffix": "" }, { "first": "Yi", "middle": [], "last": "Yasunaga", "suffix": "" }, { "first": "Xi", "middle": [], "last": "Chern Tan", "suffix": "" }, { "first": "Suyi", "middle": [], "last": "Victoria Lin", "suffix": "" }, { "first": "Heyang", "middle": [], "last": "Li", "suffix": "" }, { "first": "Irene", "middle": [], "last": "Er", "suffix": "" }, { "first": "Bo", "middle": [], "last": "Li", "suffix": "" }, { "first": "Tao", "middle": [], "last": "Pang", "suffix": "" }, { "first": "Emily", "middle": [], "last": "Chen", "suffix": "" }, { "first": "Shreya", "middle": [], "last": "Ji", "suffix": "" }, { "first": "David", "middle": [], "last": "Dixit", "suffix": "" }, { "first": "Sungrok", "middle": [], "last": "Proctor", "suffix": "" }, { "first": "Jonathan", "middle": [], "last": "Shim", "suffix": "" }, { "first": "Vincent", "middle": [], "last": "Kraft", "suffix": "" }, { "first": "Yan", "middle": [], "last": "Zhang ; Zecheng Zhan", "suffix": "" }, { "first": "Yan", "middle": [], "last": "Gao", "suffix": "" }, { "first": "Jian-Guang", "middle": [], "last": "Xiao", "suffix": "" }, { "first": "Ting", "middle": [], "last": "Lou", "suffix": "" }, { "first": "Dongmei", "middle": [], "last": "Liu", "suffix": "" }, { "first": "", "middle": [], "last": "Zhang Eigensent", "suffix": "" } ], "year": 2019, "venue": "Compositional Semantic Parsing across Graphbanks Matthias Lindemann, Jonas Groschwitz and Alexander Koller Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos and Miguel Ballesteros BERT Rediscovers the Classical NLP Pipeline Ian Tenney, Dipanjan Das and Ellie Pavlick Simple and Effective Paraphrastic Similarity from Parallel Translations John Wieting", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Be- yond Language Modeling Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick and Samuel R. Bowman Complex Question Decomposition for Semantic Parsing Haoyu Zhang, Jingjing Cai, Jianjun Xu and Ji Wang Multi-Task Deep Neural Networks for Natural Language Understanding Xiaodong Liu, Pengcheng He, Weizhu Chen and Jianfeng Gao DisSent: Learning Sentence Representations from Explicit Discourse Relations Allen Nie, Erin Bennett and Noah Goodman SParC: Cross-Domain Semantic Parsing in Context Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher and Dragomir Radev Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Rep- resentation Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu and Dong- mei Zhang EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode De- composition Subhradeep Kayal and George Tsatsaronis SemBleu: A Robust Metric for AMR Parsing Evaluation Linfeng Song and Daniel Gildea Reranking for Neural Semantic Parsing Pengcheng Yin and Graham Neubig Representing Schema Structure with Graph Neural Networks for Text-to-SQL Pars- ing Ben Bogin, Jonathan Berant and Matt Gardner Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark Nikita Nangia and Samuel R. Bowman Wednesday, July 31, 2019 (continued) Compositional Semantic Parsing across Graphbanks Matthias Lindemann, Jonas Groschwitz and Alexander Koller Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos and Miguel Ballesteros BERT Rediscovers the Classical NLP Pipeline Ian Tenney, Dipanjan Das and Ellie Pavlick Simple and Effective Paraphrastic Similarity from Parallel Translations John Wieting, Kevin Gimpel, Graham Neubig and Taylor Berg-Kirkpatrick Second-Order Semantic Dependency Parsing with End-to-End Neural Networks Xinyu Wang, Jingxian Huang and Kewei Tu [Sentiment Analysis and Argument Mining]", "links": null }, "BIBREF357": { "ref_id": "b357", "title": "Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)", "authors": [], "year": null, "venue": "", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)", "links": null }, "BIBREF358": { "ref_id": "b358", "title": "Rada Mihalcea and Soujanya Poria Determining Relative Argument Specificity and Stance for Complex Argumentative Structures Esin Durmus, Faisal Ladhak and Claire Cardie Latent Variable Sentiment Grammar Liwen Zhang, Kewei Tu and Yue Zhang An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese Enkhbold Bataa and Joshua Wu Probing Neural Network Comprehension of Natural Language Arguments Timothy Niven and Hung-Yu Kao Recognising Agreement and Disagreement between Stances with Reason Comparing Networks Chang Xu, Cecile Paris, Surya Nepal and Ross Sparks Toward Comprehensive Understanding of a Sentiment Based on Human Motives Naoki Otani and Eduard Hovy Context-aware Embedding for Targeted Aspect-based Sentiment Analysis Bin Liang", "authors": [ { "first": "Santiago", "middle": [], "last": "Castro", "suffix": "" }, { "first": "Devamanyu", "middle": [], "last": "Hazarika", "suffix": "" }, { "first": "Ver\u00f3nica", "middle": [], "last": "P\u00e9rez-Rosas", "suffix": "" }, { "first": "Roger", "middle": [], "last": "Zimmermann", "suffix": "" } ], "year": 2019, "venue": "Jiachen Du", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Santiago Castro, Devamanyu Hazarika, Ver\u00f3nica P\u00e9rez-Rosas, Roger Zimmermann, Rada Mihalcea and Soujanya Poria Determining Relative Argument Specificity and Stance for Complex Argumentative Structures Esin Durmus, Faisal Ladhak and Claire Cardie Latent Variable Sentiment Grammar Liwen Zhang, Kewei Tu and Yue Zhang An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese Enkhbold Bataa and Joshua Wu Probing Neural Network Comprehension of Natural Language Arguments Timothy Niven and Hung-Yu Kao Recognising Agreement and Disagreement between Stances with Reason Compar- ing Networks Chang Xu, Cecile Paris, Surya Nepal and Ross Sparks Toward Comprehensive Understanding of a Sentiment Based on Human Motives Naoki Otani and Eduard Hovy Context-aware Embedding for Targeted Aspect-based Sentiment Analysis Bin Liang, Jiachen Du, Ruifeng Xu, Binyang Li and Hejiao Huang Wednesday, July 31, 2019 (continued)", "links": null }, "BIBREF359": { "ref_id": "b359", "title": "Asli Celikyilmaz and Yejin Choi Detecting Subevents using Discourse and Narrative Features Mohammed Aldawsari and Mark Finlayson HellaSwag: Can a Machine Really Finish Your Sentence? Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi and Yejin Choi Unified Semantic Parsing with Weak Supervision Priyanka Agrawal, Ayushi Dalmia, Parag Jain, Abhishek Bansal, Ashish Mittal and Karthik Sankaranarayanan Every Child Should Have Parents: A Taxonomy Refinement Algorithm Based on Hyperbolic Term Embeddings Rami Aly", "authors": [ { "first": "Hiroki", "middle": [], "last": "Ouchi", "suffix": "" }, { "first": "Naoya", "middle": [], "last": "Inoue", "suffix": "" }, { "first": "Paul", "middle": [], "last": "Reisert", "suffix": "" }, { "first": "Toshinori", "middle": [], "last": "Miyoshi", "suffix": "" }, { "first": "Jun", "middle": [], "last": "Suzuki", "suffix": "" }, { "first": "Kentaro Inui ; Jingjing", "middle": [], "last": "Xu", "suffix": "" }, { "first": "Yancheng", "middle": [], "last": "He", "suffix": "" }, { "first": "Shengli", "middle": [], "last": "Yan ; Nitish", "suffix": "" }, { "first": "Arijit", "middle": [], "last": "Joshi", "suffix": "" }, { "first": "", "middle": [], "last": "Mukherjee ; Shuohang", "suffix": "" }, { "first": "Anh", "middle": [ "Tuan" ], "last": "Wang", "suffix": "" }, { "first": "Jie", "middle": [], "last": "Luu", "suffix": "" }, { "first": "Minh", "middle": [ "C" ], "last": "Fu", "suffix": "" }, { "first": "Xingdi", "middle": [], "last": "Phan", "suffix": "" }, { "first": "Jinfeng", "middle": [], "last": "Yuan", "suffix": "" }, { "first": "J", "middle": [], "last": "Rao ; Sebastian", "suffix": "" }, { "first": "Ryan", "middle": [], "last": "Mielke", "suffix": "" }, { "first": "Kyle", "middle": [], "last": "Cotterell", "suffix": "" }, { "first": "", "middle": [], "last": "Gorman", "suffix": "" } ], "year": 2019, "venue": "Textual Inference and Other Areas of Semantics] Simple and Effective Text Matching with Richer Alignment Features Runqi Yang, Jianhai Zhang, Xing Gao, Feng Ji and Haiqing Chen Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs Deepak Nathani", "volume": "10", "issue": "", "pages": "10--15", "other_ids": {}, "num": null, "urls": [], "raw_text": "Yes, we can! Mining Arguments in 50 Years of US Presidential Campaign Debates Shohreh Haddadan, Elena Cabrio and Serena Villata An Empirical Study of Span Representations in Argumentation Structure Parsing Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki and Kentaro Inui [Textual Inference and Other Areas of Semantics] Simple and Effective Text Matching with Richer Alignment Features Runqi Yang, Jianhai Zhang, Xing Gao, Feng Ji and Haiqing Chen Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs Deepak Nathani, Jatin Chauhan, Charu Sharma and Manohar Kaul Neural Network Alignment for Sentential Paraphrases Jessica Ouyang and Kathy McKeown Duality of Link Prediction and Entailment Graph Induction Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson and Mark Steedman A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Match- ing Jihun Choi, Taeuk Kim and Sang-goo Lee COMET: Commonsense Transformers for Automatic Knowledge Graph Construc- tion Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celiky- ilmaz and Yejin Choi Detecting Subevents using Discourse and Narrative Features Mohammed Aldawsari and Mark Finlayson HellaSwag: Can a Machine Really Finish Your Sentence? Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi and Yejin Choi Unified Semantic Parsing with Weak Supervision Priyanka Agrawal, Ayushi Dalmia, Parag Jain, Abhishek Bansal, Ashish Mittal and Karthik Sankaranarayanan Every Child Should Have Parents: A Taxonomy Refinement Algorithm Based on Hyperbolic Term Embeddings Rami Aly, Shantanu Acharya, Alexander Ossa, Arne K\u00f6hn, Chris Biemann and Alexander Panchenko 10:30-12:10 Student Research Workshop Poster Session 3 12:10-13:50 Lunch 13:50-15:30 Session 7A: Generation 2 13:50-14:10 Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model Wei Li, Jingjing Xu, Yancheng He, ShengLi Yan, Yunfang Wu and Xu Sun 14:10-14:30 Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling Yifan Gao, Piji Li, Irwin King and Michael R. Lyu 14:30-14:50 Cross-Lingual Training for Automatic Question Generation Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan and Preethi Jyothi 14:50-15:10 A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer Chen Wu, Xuancheng Ren, Fuli Luo and Xu Sun 15:10-15:30 Handling Divergent Reference Texts when Evaluating Table-to-Text Generation Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, Ming-Wei Chang, Dipanjan Das and William Cohen cxv Wednesday, July 31, 2019 (continued) 13:50-15:30 Session 7B: Question Answering 3 13:50-14:10 Unsupervised Question Answering by Cloze Translation Patrick Lewis, Ludovic Denoyer and Sebastian Riedel 14:10-14:30 MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension Alon Talmor and Jonathan Berant 14:30-14:50 Simple and Effective Curriculum Pointer-Generator Networks for Reading Compre- hension over Long Narratives Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jin- feng Rao, Siu Cheung Hui and Aston Zhang 14:50-15:10 Explain Yourself! Leveraging Language Models for Commonsense Reasoning Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong and Richard Socher 15:10-15:30 Interpretable Question Answering on Knowledge Bases and Text Alona Sydorova, Nina Poerner and Benjamin Roth 13:50-15:30 Session 7C: Multilinguality 13:50-14:10 A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity Yoshinari Fujinuma, Jordan Boyd-Graber and Michael J. Paul 14:10-14:30 Multilingual and Cross-Lingual Graded Lexical Entailment Ivan Vuli\u0107, Simone Paolo Ponzetto and Goran Glava\u0161 14:30-14:50 What Kind of Language Is Hard to Language-Model? Sebastian J. Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark and Jason Eisner 14:50-15:03 Analyzing the Limitations of Cross-lingual Word Embedding Mappings Aitor Ormazabal, Mikel Artetxe, Gorka Labaka, Aitor Soroa and Eneko Agirre 15:03-15:16 How Multilingual is Multilingual BERT? Telmo Pires, Eva Schlinger and Dan Garrette Wednesday, July 31, 2019 (continued) 15:16-15:29 Bilingual Lexicon Induction through Unsupervised Machine Translation Mikel Artetxe, Gorka Labaka and Eneko Agirre 13:50-15:30 Session 7D: Social Media 2 13:50-14:10 [TACL] What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu and Irwin King 14:10-14:30 Automatically Identifying Complaints in Social Media Daniel Preo\u0163iuc-Pietro, Mihaela Gaman and Nikolaos Aletras 14:30-14:50 TWEETQA: A Social Media Focused Question Answering Dataset Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo and William Yang Wang 14:50-15:10 Asking the Crowd: Question Analysis, Evaluation and Generation for Open Discus- sion on Online Forums Zi Chai, Xinyu Xing, Xiaojun Wan and Bo Huang 15:10-15:30 Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations Sumeet Kumar and Kathleen Carley 13:50-15:30 Session 7E: Summarization 2 13:50-14:10 HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization Xingxing Zhang, Furu Wei and Ming Zhou 14:10-14:30 Hierarchical Transformers for Multi-Document Summarization Yang Liu and Mirella Lapata 14:30-14:50 Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization Panagiotis Kouris, Georgios Alexandridis and Andreas Stafylopatis 14:50-15:03 Studying Summarization Evaluation Metrics in the Appropriate Scoring Range Maxime Peyrard 15:03-15:16 Simple Unsupervised Summarization by Contextual Matching Jiawei Zhou and Alexander Rush Wednesday, July 31, 2019 (continued) 15:16-15:29 Generating Summaries with Topic Templates and Structured Convolutional De- coders Laura Perez-Beltrachini, Yang Liu and Mirella Lapata 13:50-15:30 Session 7F: Linguistic Theories, Cognitive Modeling and Psycholinguistics 13:50-14:10 Morphological Irregularity Correlates with Frequency Shijie Wu, Ryan Cotterell and Timothy O'Donnell 14:10-14:30 Like a Baby: Visually Situated Neural Language Acquisition Alexander Ororbia, Ankur Mali, Matthew Kelly and David Reitter 14:30-14:50 Relating Simple Sentence Representations in Deep Neural Networks and the Brain Sharmistha Jat, Hao Tang, Partha Talukdar and Tom Mitchell 14:50-15:10 Modeling Affirmative and Negated Action Processing in the Brain with Lexical and Compositional Semantic Models Vesna Djokic, Jean Maillard, Luana Bulat and Ekaterina Shutova 15:10-15:30 Word-order Biases in Deep-agent Emergent Communication Rahma Chaabouni, Eugene Kharitonov, Alessandro Lazaric, Emmanuel Dupoux and Marco Baroni 13:50-15:30 Poster Session 7", "links": null }, "BIBREF360": { "ref_id": "b360", "title": "Jiang and Man Lan Incorporating Linguistic Constraints into Keyphrase Generation Jing Zhao and Yuxiang Zhang A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining Shweta Yadav, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems Yanyan Zou and Wei Lu A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification Pengcheng Yang, Fuli Luo, Shuming Ma, Junyang Lin and Xu Sun Joint Slot Filling and Intent Detection via Capsule Neural Networks Chenwei Zhang", "authors": [ { "first": "", "middle": [], "last": "Wednesday ; Xiang", "suffix": "" }, { "first": "Ben", "middle": [], "last": "Dai", "suffix": "" }, { "first": "Sarvnaz", "middle": [], "last": "Hachey", "suffix": "" }, { "first": "Cecile", "middle": [], "last": "Karimi", "suffix": "" }, { "first": "James", "middle": [ "R" ], "last": "Paris", "suffix": "" }, { "first": "Yaojie", "middle": [], "last": "Curran Sequence ; Lin", "suffix": "" }, { "first": "", "middle": [], "last": "Lu ; Guoyin", "suffix": "" }, { "first": "Chenyang", "middle": [], "last": "Wang", "suffix": "" }, { "first": "Dinghan", "middle": [], "last": "Tao", "suffix": "" }, { "first": "Pengyu", "middle": [], "last": "Shen", "suffix": "" }, { "first": "Xinyuan", "middle": [], "last": "Cheng", "suffix": "" }, { "first": "Wenlin", "middle": [], "last": "Zhang", "suffix": "" }, { "first": "", "middle": [], "last": "Wang", "suffix": "" } ], "year": 2019, "venue": "Nested Entity Mention Detection via Anchor-Region Networks Hongyu", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Wednesday, July 31, 2019 (continued) [Information Extraction and Text Mining] NNE: A Dataset for Nested Named Entity Recognition in English Newswire Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cecile Paris and James R. Curran Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Net- works Hongyu Lin, Yaojie Lu, Xianpei Han and Le Sun Improving Textual Network Embedding with Global Attention via Optimal Transport Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang and Lawrence Carin Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Sci- entific Leaderboards Construction Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin and Debasis Ganguly Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title Huimin Xu, Wenting Wang, Xin Mao, Xinyu Jiang and Man Lan Incorporating Linguistic Constraints into Keyphrase Generation Jing Zhao and Yuxiang Zhang A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Min- ing Shweta Yadav, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems Yanyan Zou and Wei Lu A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification Pengcheng Yang, Fuli Luo, Shuming Ma, Junyang Lin and Xu Sun Joint Slot Filling and Intent Detection via Capsule Neural Networks Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan and Philip Yu Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision Hongliang Dai and Yangqiu Song Wednesday, July 31, 2019 (continued)", "links": null }, "BIBREF361": { "ref_id": "b361", "title": "Xianpei Han and Le Sun Exploring Pre-trained Language Models for Event Extraction and Generation Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan and Dongsheng Li Improving Open Information Extraction via Iterative Rank-Aware Learning Zhengbao Jiang, Pengcheng Yin and Graham Neubig Towards Improving Neural Named Entity Recognition with Gazetteers Tianyu Liu, Jin-Ge Yao and Chin-Yew Lin Span-Level Model for Relation Extraction Kalpit Dixit and Yaser Al-Onaizan", "authors": [ { "first": "Yaojie", "middle": [], "last": "Lin", "suffix": "" }, { "first": "", "middle": [], "last": "Lu", "suffix": "" } ], "year": null, "venue": "Cost-sensitive Regularization for Label Confusion-aware Event Detection Hongyu", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Cost-sensitive Regularization for Label Confusion-aware Event Detection Hongyu Lin, Yaojie Lu, Xianpei Han and Le Sun Exploring Pre-trained Language Models for Event Extraction and Generation Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan and Dongsheng Li Improving Open Information Extraction via Iterative Rank-Aware Learning Zhengbao Jiang, Pengcheng Yin and Graham Neubig Towards Improving Neural Named Entity Recognition with Gazetteers Tianyu Liu, Jin-Ge Yao and Chin-Yew Lin Span-Level Model for Relation Extraction Kalpit Dixit and Yaser Al-Onaizan [Tagging, Chunking, Syntax and Parsing]", "links": null }, "BIBREF362": { "ref_id": "b362", "title": "Hajic Online Infix Probability Computation for Probabilistic Finite Automata Marco Cognetta, Yo-Sub Han and Soon Chan Kwon How to Best Use Syntax in Semantic Role Labelling Yufei Wang, Mark Johnson, Stephen Wan, Yifang Sun and Wei Wang PTB Graph Parsing with Tree Approximation Yoshihide Kato and Shigeki Matsubara Sequence Labeling Parsing by Learning across Representations Michalina Strzyz, David Vilares and Carlos G\u00f3mez-Rodr\u00edguez A Prism Module for Semantic Disentanglement in Name Entity Recognition Kun Liu", "authors": [ { "first": "Shen", "middle": [], "last": "Li", "suffix": "" }, { "first": "Daqi", "middle": [], "last": "Zheng", "suffix": "" }, { "first": "Zhengdong", "middle": [], "last": "Lu", "suffix": "" } ], "year": null, "venue": "", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Enhancing Unsupervised Generative Dependency Parser with Contextual Informa- tion Wenjuan Han, Yong Jiang and Kewei Tu Neural Architectures for Nested NER through Linearization Jana Strakov\u00e1, Milan Straka and Jan Hajic Online Infix Probability Computation for Probabilistic Finite Automata Marco Cognetta, Yo-Sub Han and Soon Chan Kwon How to Best Use Syntax in Semantic Role Labelling Yufei Wang, Mark Johnson, Stephen Wan, Yifang Sun and Wei Wang PTB Graph Parsing with Tree Approximation Yoshihide Kato and Shigeki Matsubara Sequence Labeling Parsing by Learning across Representations Michalina Strzyz, David Vilares and Carlos G\u00f3mez-Rodr\u00edguez A Prism Module for Semantic Disentanglement in Name Entity Recognition Kun Liu, Shen Li, Daqi Zheng, Zhengdong Lu, Sheng Gao and Si Li Label-Agnostic Sequence Labeling by Copying Nearest Neighbors Sam Wiseman and Karl Stratos [Dialogue and Interactive Systems]", "links": null }, "BIBREF363": { "ref_id": "b363", "title": "Xiang Gao, Bill Dolan, Yejin Choi and Jianfeng Gao Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue System Hardik Chauhan, Mauajama Firdaus, Asif Ekbal and Pushpak Bhattacharyya Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference He Bai", "authors": [ { "first": "Dataset", "middle": [], "last": "Hannah Rashkin", "suffix": "" }, { "first": "Eric", "middle": [ "Michael" ], "last": "Smith", "suffix": "" }, { "first": "Margaret", "middle": [], "last": "Li", "suffix": "" }, { "first": "Y-Lan ; Ivan", "middle": [], "last": "Vuli\u0107", "suffix": "" }, { "first": "Daniela", "middle": [], "last": "Gerz", "suffix": "" }, { "first": "I\u00f1igo", "middle": [], "last": "Casanueva", "suffix": "" }, { "first": "Pawe\u0142", "middle": [], "last": "Budzianowski", "suffix": "" }, { "first": "Sam", "middle": [], "last": "Coope", "suffix": "" }, { "first": "Georgios", "middle": [], "last": "Spithourakis", "suffix": "" } ], "year": 2019, "venue": "Chongyang Tao, Huang Hu, Matt Schuerman and Ying Wang Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset Hannah Rashkin, Eric Michael Smith, Margaret Li and Y-Lan Boureau Know More about Each Other: Evolving Dialogue Strategy via Compound Assess- ment Siqi Bao, Huang He, Fan Wang, Rongzhong Lian and Hua Wu Training Neural Response Selection for Task-Oriented Dialogue Systems Matthew Henderson, Ivan Vuli\u0107, Daniela Gerz, I\u00f1igo Casanueva, Pawe\u0142 Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrk\u0161i\u0107 and Pei-Hao Su Collaborative Dialogue in Minecraft Anjali Narayan-Chen, Prashant Jayannavar and Julia Hockenmaier Neural Response Generation with Meta-words Can Xu, Wei Wu, Chongyang Tao, Huang Hu, Matt Schuerman and Ying Wang Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi and Jianfeng Gao Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue Sys- tem Hardik Chauhan, Mauajama Firdaus, Asif Ekbal and Pushpak Bhattacharyya Memory Consolidation for Contextual Spoken Language Understanding with Dia- logue Logistic Inference He Bai, Yu Zhou, Jiajun Zhang and Chengqing Zong Personalizing Dialogue Agents via Meta-Learning Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu and Pascale Fung Wednesday, July 31, 2019 (continued)", "links": null }, "BIBREF364": { "ref_id": "b364", "title": ":40 Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning Edwin Simpson, Erik-L\u00e2n Do Dinh", "authors": [ { "first": "Michael", "middle": [], "last": "Tanana", "suffix": "" }, { "first": "Zac", "middle": [], "last": "Imel", "suffix": "" }, { "first": "Eric", "middle": [], "last": "Poitras", "suffix": "" }, { "first": "David", "middle": [], "last": "Atkins", "suffix": "" }, { "first": "Vivek", "middle": [], "last": "Srikumar", "suffix": "" }, { "first": ";", "middle": [], "last": "Le", "suffix": "" }, { "first": "Doyen", "middle": [], "last": "Sahoo", "suffix": "" }, { "first": "Nancy", "middle": [], "last": "Chen", "suffix": "" }, { "first": "Steven Hoi ; Tiancheng", "middle": [], "last": "Zhao", "suffix": "" }, { "first": "Chenyan", "middle": [], "last": "Xiong", "suffix": "" }, { "first": "Xiaodan", "middle": [], "last": "Liang", "suffix": "" }, { "first": "Eric", "middle": [], "last": "Xing", "suffix": "" }, { "first": "Zhiting", "middle": [], "last": "Hu ; Good Xuewei", "suffix": "" }, { "first": "Weiyan", "middle": [], "last": "Wang", "suffix": "" }, { "first": "Richard", "middle": [], "last": "Shi", "suffix": "" }, { "first": "Yoojung", "middle": [], "last": "Kim", "suffix": "" }, { "first": "Sijia", "middle": [], "last": "Oh", "suffix": "" }, { "first": "Jingwen", "middle": [], "last": "Yang", "suffix": "" }, { "first": "Zhou Yu ; Junjie", "middle": [], "last": "Zhang", "suffix": "" }, { "first": "Chenghao", "middle": [], "last": "Huang", "suffix": "" }, { "first": "Zhiyuan", "middle": [], "last": "Yang", "suffix": "" }, { "first": "Xiao", "middle": [], "last": "Liu", "suffix": "" }, { "first": "T", "middle": [ "J" ], "last": "Chen ; Katharina Kann", "suffix": "" }, { "first": "", "middle": [], "last": "Hazen", "suffix": "" } ], "year": 2019, "venue": "40 Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation Daniel Loureiro and Al\u00edpio Jorge", "volume": "16", "issue": "", "pages": "0--17", "other_ids": { "DOI": [ "https://www.mitpressjournals.org/doi/pdfplus/10.1162/tacl_a_00270" ] }, "num": null, "urls": [], "raw_text": "An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing Zhisong Zhang, Xuezhe Ma and Eduard Hovy 13:50-15:30 Demo Session 3 15:30-16:00 Break 16:00-17:40 Session 8A: Dialogue and Interactive Systems 3 -New Tasks 16:00-16:20 Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes Jie Cao, Michael Tanana, Zac Imel, Eric Poitras, David Atkins and Vivek Srikumar 16:20-16:40 Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Sys- tems Hung Le, Doyen Sahoo, Nancy Chen and Steven Hoi 16:40-17:00 Target-Guided Open-Domain Conversation Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric Xing and Zhiting Hu 17:00-17:20 Persuasion for Good: Towards a Personalized Persuasive Dialogue System for So- cial Good Xuewei Wang, Weiyan Shi, Richard Kim, Yoojung Oh, Sijia Yang, Jingwen Zhang and Zhou Yu 17:20-17:40 Improving Neural Conversational Models with Entropy-Based Data Filtering Rich\u00e1rd Cs\u00e1ky, Patrik Purgai and G\u00e1bor Recski Wednesday, July 31, 2019 (continued) 16:00-17:40 Session 8B: Word-level Semantics 2 16:00-16:20 Zero-shot Word Sense Disambiguation using Sense Definition Embeddings Sawan Kumar, Sharmistha Jat, Karan Saxena and Partha Talukdar 16:20-16:40 Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation Daniel Loureiro and Al\u00edpio Jorge 16:40-17:00 Word2Sense: Sparse Interpretable Word Embeddings Abhishek Panigrahi, Harsha Vardhan Simhadri and Chiranjib Bhattacharyya 17:00-17:20 Modeling Semantic Compositionality with Sememe Knowledge Fanchao Qi, Junjie Huang, Chenghao Yang, Zhiyuan Liu, Xiao Chen, Qun Liu and Maosong Sun 17:20-17:40 Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning Edwin Simpson, Erik-L\u00e2n Do Dinh, Tristan Miller and Iryna Gurevych 16:00-17:40 Session 8C: Resources and Evaluation 16:00-16:20 Empirical Linguistic Study of Sentence Embeddings Katarzyna Krasnowska-Kiera\u015b and Alina Wr\u00f3blewska 16:20-16:40 Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embed- dings Yadollah Yaghoobzadeh, Katharina Kann, T. J. Hazen, Eneko Agirre and Hinrich Sch\u00fctze 16:40-17:00 Deep Neural Model Inspection and Comparison via Functional Neuron Pathways James Fiacco, Samridhi Choudhary and Carolyn Rose 17:00-17:13 Collocation Classification with Unsupervised Relation Vectors Luis Espinosa Anke, Steven Schockaert and Leo Wanner 17:13-17:26 Corpus-based Check-up for Thesaurus Natalia Loukachevitch Wednesday, July 31, 2019 (continued) 17:26-17:39 Confusionset-guided Pointer Networks for Chinese Spelling Check Dingmin Wang, Yi Tay and Li Zhong 16:00-17:40 Session 8D: Machine Translation 4 16:00-16:20 Generalized Data Augmentation for Low-Resource Translation Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos and Graham Neubig 16:20-16:40 [TACL] Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation Matthias Sperber, Graham Neubig, Jan Niehues and Alex Waibel 16:40-17:00 Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich and Ivan Titov 17:00-17:13 Better OOV Translation with Bilingual Terminology Mining Matthias Huck, Viktor Hangya and Alexander Fraser 17:13-17:26 Simultaneous Translation with Flexible Policy via Restricted Imitation Learning Baigong Zheng, Renjie Zheng, Mingbo Ma and Liang Huang 17:26-17:39 Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation Xinyi Wang and Graham Neubig 16:00-17:40 Session 8E: Information Extraction and Text Mining 4 16:00-16:20 Adversarial Learning of Privacy-Preserving Text Representations for De- Identification of Medical Records Max Friedrich, Arne K\u00f6hn, Gregor Wiedemann and Chris Biemann 16:20-16:40 Merge and Label: A Novel Neural Network Architecture for Nested NER Joseph Fisher and Andreas Vlachos 16:40-17:00 Low-resource Deep Entity Resolution with Transfer and Active Learning Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li and Lucian Popa 17:00-17:13 A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition Ravneet Arora, Chen-Tse Tsai, Ketevan Tsereteli, Prabhanjan Kambadur and Yi Yang cxxvi Wednesday, July 31, 2019 (continued) 17:13-17:26 Using Human Attention to Extract Keyphrase from Microblog Post Yingyi Zhang and Chengzhi Zhang 17:26-17:39 Model-Agnostic Meta-Learning for Relation Classification with Limited Supervi- sion Abiola Obamuyide and Andreas Vlachos 16:00-17:40 Session 8F: Machine Learning 5 16:00-16:20 Variational Pretraining for Semi-supervised Text Classification Suchin Gururangan, Tam Dang, Dallas Card and Noah A. Smith 16:20-16:40 Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation Yftah Ziser and Roi Reichart 16:40-17:00 Optimal Transport-based Alignment of Learned Character Representations for String Similarity Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das and Andrew McCallum 17:00-17:13 The Referential Reader: A Recurrent Entity Network for Anaphora Resolution Fei Liu, Luke Zettlemoyer and Jacob Eisenstein 17:13-17:26 Interpolated Spectral NGram Language Models Ariadna Quattoni and Xavier Carreras 17:26-17:39 BAM! Born-Again Multi-Task Networks for Natural Language Understanding Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning and Quoc V. Le Wednesday, July 31, 2019 (continued) 16:00-17:40 Poster Session 8", "links": null }, "BIBREF365": { "ref_id": "b365", "title": "Matt Gardner and Sameer Singh Controllable Paraphrase Generation with a Syntactic Exemplar Mingda Chen, Qingming Tang, Sam Wiseman and Kevin Gimpel Towards Comprehensive Description Generation from Factual Attribute-value Ta", "authors": [ { "first": "Generate ; Robert", "middle": [], "last": "Curate", "suffix": "" }, { "first": "Nelson", "middle": [ "F" ], "last": "Logan", "suffix": "" }, { "first": "Matthew", "middle": [ "E" ], "last": "Liu", "suffix": "" }, { "first": "", "middle": [], "last": "Peters ; Bles Tianyu", "suffix": "" }, { "first": "Fuli", "middle": [], "last": "Liu", "suffix": "" }, { "first": "Pengcheng", "middle": [], "last": "Luo", "suffix": "" }, { "first": "Wei", "middle": [], "last": "Yang", "suffix": "" }, { "first": "Baobao", "middle": [], "last": "Wu", "suffix": "" }, { "first": "Zhifang", "middle": [], "last": "Chang", "suffix": "" }, { "first": "Yanru", "middle": [], "last": "Sui Style Transformer ; Yunxuan Xiao", "suffix": "" }, { "first": "Hao", "middle": [], "last": "Qu", "suffix": "" }, { "first": "Lei", "middle": [], "last": "Zhou", "suffix": "" }, { "first": "Weinan", "middle": [], "last": "Li", "suffix": "" }, { "first": "Yong", "middle": [ "Yu" ], "last": "Zhang", "suffix": "" }, { "first": "", "middle": [], "last": "Nlprolog", "suffix": "" } ], "year": 2019, "venue": "A Corpus and Method for Joint Control of Semantics and Style in Neural NLG Shereen Oraby, Vrindavan Harrison, Abteen Ebrahimi and Marilyn Walker Automated Chess Commentator Powered by Neural Chess Engine Hongyu Zang, Zhiwei Yu and Xiaojun Wan Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG Shereen Oraby, Vrindavan Harrison, Abteen Ebrahimi and Marilyn Walker Automated Chess Commentator Powered by Neural Chess Engine Hongyu Zang, Zhiwei Yu and Xiaojun Wan Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Model- ing Robert Logan, Nelson F. Liu, Matthew E. Peters, Matt Gardner and Sameer Singh Controllable Paraphrase Generation with a Syntactic Exemplar Mingda Chen, Qingming Tang, Sam Wiseman and Kevin Gimpel Towards Comprehensive Description Generation from Factual Attribute-value Ta- bles Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang and Zhifang Sui Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Rep- resentation Ning Dai, Jianze Liang, Xipeng Qiu and Xuanjing Huang Generating Sentences from Disentangled Syntactic and Semantic Spaces Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xin-yu Dai and Jiajun Chen Learning to Control the Fine-grained Sentiment for Story Ending Generation Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui and Xu Sun Self-Attention Architectures for Answer-Agnostic Neural Question Generation Thomas Scialom, Benjamin Piwowarski and Jacopo Staiano Unsupervised Paraphrasing without Translation Aurko Roy and David Grangier Wednesday, July 31, 2019 (continued) Dynamically Fused Graph Network for Multi-hop Reasoning Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang and Yong Yu NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language Leon Weber, Pasquale Minervini, Jannes M\u00fcnchmeyer, Ulf Leser and Tim Rock- t\u00e4schel", "links": null }, "BIBREF366": { "ref_id": "b366", "title": "Bing Tian Dai and Dongxiang Zhang Synthetic QA Corpora Generation with Roundtrip Consistency Chris Alberti", "authors": [ { "first": "Jierui", "middle": [], "last": "Li", "suffix": "" }, { "first": "Lei", "middle": [], "last": "Wang", "suffix": "" }, { "first": "Jipeng", "middle": [], "last": "Zhang", "suffix": "" }, { "first": "Yan", "middle": [], "last": "Wang", "suffix": "" } ], "year": null, "venue": "Multi-perspective Convolutional Cube for Conversational Machine Reading Comprehension Xuanyu Zhang", "volume": "2", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Modeling Intra-Relation in Math Word Problems with Different Functional Multi- Head Attentions Jierui Li, Lei Wang, Jipeng Zhang, Yan Wang, Bing Tian Dai and Dongxiang Zhang Synthetic QA Corpora Generation with Roundtrip Consistency Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin and Michael Collins Are Red Roses Red? Evaluating Consistency of Question-Answering Models Marco Tulio Ribeiro, Carlos Guestrin and Sameer Singh MC\u02c62: Multi-perspective Convolutional Cube for Conversational Machine Reading Comprehension Xuanyu Zhang [Multidisciplinary]", "links": null }, "BIBREF367": { "ref_id": "b367", "title": "Liu and Maosong Sun Exploiting Sentential Context for Neural Machine Translation Xing Wang, Zhaopeng Tu, Longyue Wang and Shuming Shi Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Codeswitching Behavior in Nigerian Online Discussions Innocent Ndubuisi-Obi, Sayan Ghosh and David Jurgens Accelerating Sparse Matrix Operations in Neural Networks on Graphics Processing Units Arturo Argueta and David Chiang An Automated Framework for Fast Cognate Detection and Bayesian Phylogenetic Inference in Computational Historical Linguistics Taraka Rama and Johann-Mattis List Wednesday", "authors": [ { "first": "", "middle": [], "last": "Time-Out", "suffix": "" } ], "year": 2019, "venue": "Temporal Referencing for Robust Modeling of Lexical Semantic Change Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi and Dominik Schlechtweg Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach Zonghan Yang", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi and Dominik Schlechtweg Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach Zonghan Yang, Yong Cheng, Yang Liu and Maosong Sun Exploiting Sentential Context for Neural Machine Translation Xing Wang, Zhaopeng Tu, Longyue Wang and Shuming Shi Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code- switching Behavior in Nigerian Online Discussions Innocent Ndubuisi-Obi, Sayan Ghosh and David Jurgens Accelerating Sparse Matrix Operations in Neural Networks on Graphics Processing Units Arturo Argueta and David Chiang An Automated Framework for Fast Cognate Detection and Bayesian Phylogenetic Inference in Computational Historical Linguistics Taraka Rama and Johann-Mattis List Wednesday, July 31, 2019 (continued) [Document Analysis]", "links": null }, "BIBREF368": { "ref_id": "b368", "title": "Hierarchical Transfer Learning for Multi-label Text Classification Siddhartha Banerjee, Cem Akkaya, Francisco Perez-Sorrosal and Kostas Tsioutsiouliklis Bias Analysis and Mitigation in the Evaluation of Authorship Verification Janek Bevendorff", "authors": [ { "first": "Di", "middle": [], "last": "Niu", "suffix": "" }, { "first": "Haojie", "middle": [], "last": "Wei", "suffix": "" }, { "first": "Jinghong", "middle": [], "last": "Lin", "suffix": "" } ], "year": null, "venue": "Sentence Centrality Revisited for Unsupervised Summarization Hao Zheng and Mirella Lapata Discourse Representation Parsing for Sentences and Documents Jiangming Liu, Shay B. Cohen and Mirella Lapata Inducing Document Structure for Aspect-based Summarization Lea Frermann and Alexandre Klementiev Incorporating Priors with Feature Attribution on Text Classification Frederick Liu and Besim Avci Matching Article Pairs with Graphical Decomposition and Convolutions Bang Liu", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Sentence Centrality Revisited for Unsupervised Summarization Hao Zheng and Mirella Lapata Discourse Representation Parsing for Sentences and Documents Jiangming Liu, Shay B. Cohen and Mirella Lapata Inducing Document Structure for Aspect-based Summarization Lea Frermann and Alexandre Klementiev Incorporating Priors with Feature Attribution on Text Classification Frederick Liu and Besim Avci Matching Article Pairs with Graphical Decomposition and Convolutions Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai and Yu Xu Hierarchical Transfer Learning for Multi-label Text Classification Siddhartha Banerjee, Cem Akkaya, Francisco Perez-Sorrosal and Kostas Tsiout- siouliklis Bias Analysis and Mitigation in the Evaluation of Authorship Verification Janek Bevendorff, Matthias Hagen, Benno Stein and Martin Potthast Numeracy-600K: Learning Numeracy for Detecting Exaggerated Information in Market Comments Chung-Chi Chen, Hen-Hsen Huang, Hiroya Takamura and Hsin-Hsi Chen Large-Scale Multi-Label Text Classification on EU Legislation Ilias Chalkidis, Emmanouil Fergadiotis, Prodromos Malakasiotis and Ion Androut- sopoulos Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin Seppi and Jordan Boyd- Graber Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification Tu Vu and Mohit Iyyer", "links": null } }, "ref_entries": { "FIGREF0": { "type_str": "figure", "text": "Talk -Loquentes Machinae: Technology, Applications, and Ethics of Conversational Systems Pascale Fung Professor, Hong Kong University of Science & Technology (HKUST)", "uris": null, "num": null }, "FIGREF1": { "type_str": "figure", "text": "Pascale Fung is a Professor in the Department of Electronic & Computer Engineering and the Department of Computer Science & Engineering at the Hong Kong University of Science & Technology(HKUST). She is the Director of the multidisciplinary Centre for AI Research (CAiRE) at HKUST, to promote R&D in beneficial and human-centered AI. She is an elected Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and an elected Fellow of the International Speech Communication Association (ISCA) for her contributions to the interdisciplinary area of spoken language human-machine interactions. She co-founded the Human Language Technology Center (HLTC) and is an affiliated faculty with the Robotics Institute and the Big Data Institute, both at HKUST. She is a past president and current board member of ACL SIGDAT, and past technical program chair of ACL and EMNLP conferences. She was Editor for Computer Speech and Language, Associate Editor for the IEEE/ACM Transactions on Audio, Speech and Language Processing and the Transactions on Association for Computational Linguistics. She was Technical Program Chair for IEEE ICASSP 2018 and will be TPC again in 2020 and 2024.", "uris": null, "num": null }, "TABREF0": { "num": null, "content": "
13:50-15:30 Demo Session 1 |
15:30-16:00 Break |