| { | |
| "paper_id": "2020", | |
| "header": { | |
| "generated_with": "S2ORC 1.0.0", | |
| "date_generated": "2023-01-19T07:52:11.209508Z" | |
| }, | |
| "title": "Workshops Chairs", | |
| "authors": [ | |
| { | |
| "first": "Ritesh", | |
| "middle": [], | |
| "last": "Kumar", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Bornini", | |
| "middle": [], | |
| "last": "Lahiri", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Marcos", | |
| "middle": [], | |
| "last": "Zampieri", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Erik", | |
| "middle": [], | |
| "last": "Velldal", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Fumito", | |
| "middle": [], | |
| "last": "Masui", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Ingmar", | |
| "middle": [], | |
| "last": "Weber", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Jacqueline", | |
| "middle": [], | |
| "last": "Wernimont", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Lun-Wei", | |
| "middle": [], | |
| "last": "Ku", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Academia", | |
| "middle": [], | |
| "last": "Sinica", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Taiwan", | |
| "middle": [ | |
| "Mainack" | |
| ], | |
| "last": "Mondal", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Manuel", | |
| "middle": [], | |
| "last": "Montes-Y-G\u00f3mez", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Marco", | |
| "middle": [], | |
| "last": "Guerini", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Bruno", | |
| "middle": [], | |
| "last": "Kessler", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Ming-Feng", | |
| "middle": [], | |
| "last": "Tsai", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Monojit", | |
| "middle": [], | |
| "last": "Choudhury", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Msri", | |
| "middle": [], | |
| "last": "Bangalore", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "India", | |
| "middle": [ | |
| "Michal" | |
| ], | |
| "last": "Ptaszynski", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Roman", | |
| "middle": [], | |
| "last": "Klinger", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Xavier", | |
| "middle": [], | |
| "last": "Tannier", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| } | |
| ], | |
| "year": "", | |
| "venue": null, | |
| "identifiers": {}, | |
| "abstract": "", | |
| "pdf_parse": { | |
| "paper_id": "2020", | |
| "_pdf_hash": "", | |
| "abstract": [], | |
| "body_text": [ | |
| { | |
| "text": "In the last few years, we have witnessed a gradual shift from largely static, read-only web to quickly expanding user-generated web. There has been an exponential growth in the availability and use of online platforms where users can post their own content. A major part of these platforms include social media websites and apps, blogs, Q&A forums and several similar platforms. All of these are almost exclusively user-generated websites. In all of these platforms and forums, humongous amount of data is created and circulated every minute. It has been estimated that there has been an increase of approximately 25% in the number of tweets per minutes and 22% increase in the number of Facebook posts per minute in the last 3 years. It is posited that approximately 500 million tweets are sent per day, 4.3 billion Facebook messages are posted and more than 200 million emails are sent each day, and approximately 2 million new blog posts are created daily over the web 1 . There is no such thing as a 'consolidated figure' of the number of comments and opinion generated on websites worldwide, but it can be safely assumed that such a figure would be staggering.", | |
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| "section": "Introduction", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "As the number of people and this interaction over the web has increased, incidents of aggression and related activities like trolling, cyberbullying, flaming, hate speech, etc. have also increased manifold across the globe. The reach and extent of Internet has given such incidents unprecedented power and influence to affect the lives of billions of people. It has been reported that such incidents of online abuse have not only created mental and psychological health issues for users, but they have impacted our lives in many other way, spanning from deactivating accounts to instances of self-harm and suicide. NLP and related methods have shown great promise in dealing with such abusive behaviour through early detection of inflammatory content.", | |
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| "section": "Introduction", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "This workshop focusses on the phenomena of online aggression, trolling, cyberbullying and other related phenomena, in both text (especially social media) and speech. The organisers aim to create a platform for academic discussions on this phenomena, based on previous joint work that they have done as part of a project funded by the British Council. We are particularly interested in promoting conversations dedicated to the automatic detection of aggression in both speech and text, that is, we hope that our workshop will not only be purely academic by nature but it will also generate real-life solutions to tackle the phenomena studied. As such the workshop also includes a shared task on 'Aggression Identification'. The task consisted of two sub-tasks -aggression identification (sub-task A) and gendered identification (sub-task B) -in three languages -Bangla, Hindi and English. For this task, the participants were provided with a dataset of approximately 5,000 instances from YouTube comments in each language. Additional data for testing was released at a later date.", | |
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| "section": "Introduction", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "Both the workshop and the shared task received a very encouraging response from the community. There were more than 70 registrations for the shared task. Out of these, 19 teams submitted their systems. The proceedings include 13 system description papers that were finally submitted by the authors. In addition to this, the workshop also includes 16 regular papers presented in the workshop.", | |
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| "eq_spans": [], | |
| "section": "Introduction", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "We would like to thank all the authors for their submission and members of the Program Committee for their invaluable efforts in reviewing and providing feedback to all the papers. We would also like to thank all the members of the Organising Committee who have helped immensely in various aspects of the organisation of the workshop and the shared task. ", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Introduction", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "Source: https://www.gwava.com/blog/internet-data-created-daily/", | |
| "cite_spans": [], | |
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| "eq_spans": [], | |
| "section": "", | |
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| ], | |
| "back_matter": [ | |
| { | |
| "text": " Saturday, May 16, 2020 9:00-10:30Inaugural Session 9:00-9:10 Welcome by Workshop Chairs ", | |
| "cite_spans": [ | |
| { | |
| "start": 1, | |
| "end": 23, | |
| "text": "Saturday, May 16, 2020", | |
| "ref_id": "BIBREF0" | |
| } | |
| ], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Conference Program", | |
| "sec_num": null | |
| } | |
| ], | |
| "bib_entries": { | |
| "BIBREF0": { | |
| "ref_id": "b0", | |
| "title": ":45 A Comparative Study of Different State-of-the-Art Hate Speech Detection Methods in Hindi-English Code-Mixed Data Priya Rani, Shardul Suryawanshi, Koustava Goswami, Bharathi Raja Chakravarthi", | |
| "authors": [ | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Saturday", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2020, | |
| "venue": "25 Multimodal Meme Dataset (MultiOFF) for Identifying Offensive Content in Image and Text Shardul Suryawanshi", | |
| "volume": "11", | |
| "issue": "", | |
| "pages": "25--36", | |
| "other_ids": {}, | |
| "num": null, | |
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| "raw_text": "Saturday, May 16, 2020 (continued) 10:45-11:45 Paper Session II 10:45-11:05 Aggression Identification in Social Media: a Transfer Learning Based Approach Faneva Ramiandrisoa and Josiane Mothe 11:05-11:25 Multimodal Meme Dataset (MultiOFF) for Identifying Offensive Content in Image and Text Shardul Suryawanshi, Bharathi Raja Chakravarthi, Mihael Arcan and Paul Buitelaar 11:25-11:45 A Comparative Study of Different State-of-the-Art Hate Speech Detection Methods in Hindi-English Code-Mixed Data Priya Rani, Shardul Suryawanshi, Koustava Goswami, Bharathi Raja Chakravarthi, Theodorus Fransen and John Philip McCrae 11:45-14:00 Poster Session IRIT at TRAC 2020", | |
| "links": null | |
| }, | |
| "BIBREF1": { | |
| "ref_id": "b1", | |
| "title": "Kaushik Das, Ferdous Barbhuiya and Kuntal Dey LaSTUS/TALN at TRAC -2020 Trolling, Aggression and Cyberbullying L\u00fctfiye Seda Mut Alt\u0131n, Alex Bravo and Horacio Saggion Spyder: Aggression Detection on Multilingual", | |
| "authors": [], | |
| "year": 2020, | |
| "venue": "Faneva Ramiandrisoa and Josiane Mothe Bagging BERT Models for Robust Aggression Identification Julian Risch and Ralf Krestel Scmhl5 at TRAC-2 Shared Task on Aggression Identification: Bert Based Ensemble Learning Approach Han Liu, Pete Burnap, Wafa Alorainy and Matthew Williams The Role of Computational Stylometry in Identifying (Misogynistic) Aggression in English Social Media Texts", | |
| "volume": "15", | |
| "issue": "", | |
| "pages": "0--17", | |
| "other_ids": {}, | |
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| "raw_text": "Faneva Ramiandrisoa and Josiane Mothe Bagging BERT Models for Robust Aggression Identification Julian Risch and Ralf Krestel Scmhl5 at TRAC-2 Shared Task on Aggression Identification: Bert Based Ensemble Learning Approach Han Liu, Pete Burnap, Wafa Alorainy and Matthew Williams The Role of Computational Stylometry in Identifying (Misogynistic) Aggression in English Social Media Texts Antonio Pascucci, Raffaele Manna, Vincenzo Masucci and Johanna Monti Aggression Identification in English, Hindi and Bangla Text using BERT, RoBERTa and SVM Arup Baruah, Kaushik Das, Ferdous Barbhuiya and Kuntal Dey LaSTUS/TALN at TRAC -2020 Trolling, Aggression and Cyberbullying L\u00fctfiye Seda Mut Alt\u0131n, Alex Bravo and Horacio Saggion Spyder: Aggression Detection on Multilingual Tweets Anisha Datta, Shukrity Si, Urbi Chakraborty and Sudip Kumar Naskar Saturday, May 16, 2020 (continued) 14:45-15:45 Paper Session III 14:45-15:05 Automatic Detection of Offensive Language in Social Media: Defining Linguistic Criteria to build a Mexican Spanish Dataset Mar\u00eda Jos\u00e9 D\u00edaz-Torres, Paulina Alejandra Mor\u00e1n-M\u00e9ndez, Luis Villasenor-Pineda, Manuel Montes-y-G\u00f3mez, Juan Aguilera and Luis Meneses-Ler\u00edn 15:05-15:25 Offensive Language Detection Explained Julian Risch, Robin Ruff and Ralf Krestel 15:25-15:45 Detecting Early Signs of Cyberbullying in Social Media Niloofar Safi Samghabadi, Adri\u00e1n Pastor L\u00f3pez Monroy and Thamar Solorio 15:45-16:00 Break 16:00-17:00 Paper Session IV 16:00-16:20 Online Harassment Detection and Categorization using Deep Learning Techniques Andrei Paraschiv and CERCEL DUMITRU CLEMENTIN 16:20-16:40 Lexicon-Enhancement of Embedding-based Approaches Towards the Detection of Abusive Language Anna Koufakou and Jason Scott 16:40-17:00 Developing a Multilingual Annotated Corpus of Misogyny and Aggression Shiladitya Bhattacharya, Siddharth Singh, Ritesh Kumar, Akanksha Bansal, Akash Bhagat, Yogesh Dawer, bornini lahiri and Atul Kr. Ojha Saturday, May 16, 2020 (continued) 17:00-17:10 Closing 17:00-17:10 Vote of Thanks", | |
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| "text": "Evaluating Aggression Identification in Social Media Ritesh Kumar, Atul Kr. Ojha, Shervin Malmasi and Marcos Zampieri . . . . . . . . . . . . . . . . . . . . . . . . . 1 TOCP: A Dataset for Chinese Profanity Processing Hsu Yang and Chuan-Jie Lin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 A Multi-Dimensional View of Aggression when voicing Opinion Arjit Srivastava, Avijit Vajpayee, Syed Sarfaraz Akhtar, Naman Jain, Vinay Singh and Manish" | |
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