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| "paper_id": "2021", | |
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| "text": "This volume contains the proceedings of the Third Workshop on Gender Bias in Natural Language Processing held in conjunction with the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021). This year, the organisation committee changed membership: Will Radford made way to Hila Gonen. We thank Will greatly for his valuable and enthusiastic contributions to this workshop, and offer a warm welcome to Hila, whose expertise and insight we are all excited to learn from. This year, the workshop received 18 submissions of technical papers (7 long papers, 11 short papers), of which 12 were accepted (5 long, 7 short), for an acceptance rate of 67%. We are pleased to see sustained interest compared to our previous editions in 2019 and 2020: we have a similar number of submissions (19 in both years) and acceptance rate, 63% and 68%, respectively. Once more, we have to thank the high-quality selection of research works thanks to the Programme Committee members, who provided extremely valuable reviews in terms of technical content and bias statements.", | |
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| "section": "Message from the Organisation Committee", | |
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| "text": "The accepted papers cover a wide range of natural language processing research areas. Regarding core tasks of NLP, the papers include annotation, coreference, data augmentation, word embeddings and evaluation. This year's programme features papers on new application areas for the workshop, conversational and judiciary applications, and we are excited for the discussions these will inspire. All papers cover a variety of gender (and intersectional) bias studies as well as a taxonomy definition.", | |
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| "section": "Message from the Organisation Committee", | |
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| "text": "Finally, the workshop counts on two high-standing keynote speakers: Sasha Luccioni, researcher in AI for Humanity initiatives at the Mila Institute, and Nizar Habash, professor and program head of Computer Science at New York University Abu Dhabi (NYUAD).", | |
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| "section": "Message from the Organisation Committee", | |
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| "text": "We are very pleased to keep the high interest that this workshop has generated over the last three editions and we look forward to an enriching discussion on how to address bias problems in NLP applications when we meet virtually on the 5th August 2020! ", | |
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| "section": "Message from the Organisation Committee", | |
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| "content": "<table><tr><td>Organisation Committee</td></tr><tr><td>Kellie Webster, Google Research</td></tr><tr><td>Programme Committee</td></tr><tr><td>Christine Basta, Universitat Polit\u00e8cnica de Catalunya</td></tr><tr><td>Dorna Behdadi, University of Gothenburg</td></tr><tr><td>Jenny Bj\u00f6rklund, Uppsala University</td></tr><tr><td>Ryan Cotterell, ETH Z\u00fcrich</td></tr><tr><td>Matthias Gall\u00e9, Naver Labs</td></tr><tr><td>Mercedes Garc\u00eda-Mart\u00ednez, Pangeanic-PangeaMT</td></tr><tr><td>Sharid Lo\u00e1iciga, University of Potsdam</td></tr><tr><td>Svetlana Kiritchenko, National Research Council Canada</td></tr><tr><td>Carla Perez Almendros, Cardiff University</td></tr><tr><td>Will Radford, Canva</td></tr><tr><td>Sonja Schmer-Galunder, Smart Information Flow Technologies</td></tr><tr><td>June 2021 Sverker Sikstr\u00f6m, Lund University</td></tr><tr><td>Marta R. Costa-juss\u00e0, Hila Gonen, Christian Hardmeier, Kellie Webster Kathleen Siminyu, Mozilla</td></tr><tr><td>Eva Vanmassenhove, Tilburg University</td></tr><tr><td>Bonnie Webber, University of Edinburgh</td></tr><tr><td>Steven Wilson, University of Edinburgh</td></tr><tr><td>Ben Zevenbergen, Google</td></tr><tr><td>v</td></tr></table>", | |
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| "text": "Marta R. Costa-juss\u00e0, Universitat Polit\u00e8cnica de Catalunya Hila Gonen, Amazon Christian Hardmeier, IT University of Copenhagen and Uppsala University" | |
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