| { | |
| "paper_id": "S19-1000", | |
| "header": { | |
| "generated_with": "S2ORC 1.0.0", | |
| "date_generated": "2023-01-19T15:46:59.310985Z" | |
| }, | |
| "title": "*SEM 2019 Chairs and Reviewers General Chair", | |
| "authors": [ | |
| { | |
| "first": "Rada", | |
| "middle": [], | |
| "last": "Mihalcea", | |
| "suffix": "", | |
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| "email": "" | |
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| { | |
| "first": "Ekaterina", | |
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| "last": "Shutova", | |
| "suffix": "", | |
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| "email": "" | |
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| { | |
| "first": "Lun-Wei", | |
| "middle": [], | |
| "last": "Ku", | |
| "suffix": "", | |
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| "email": "" | |
| }, | |
| { | |
| "first": "Academia", | |
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| "last": "Sinica", | |
| "suffix": "", | |
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| { | |
| "first": "", | |
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| "last": "Taiwan", | |
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| "first": "Kilian", | |
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| "first": "Beata", | |
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| "Beigman" | |
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| "abstract": [], | |
| "body_text": [ | |
| { | |
| "text": "Welcome to *SEM, the Joint Conference on Lexical and Computational Semantics! Now at its eighth edition, *SEM brings together research on all aspects of semantics, including semantic representations, semantic processing, theoretical semantics, multilingual semantics, and several others. Over the past few years, the increased interest we have witnessed in field of natural language processing has also resulted in an increased interest in semantics, and *SEM has become the main forum to present and discuss the most recent advances in this research area.", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Introduction Preface by the General Chair and Program Chairs", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "We are pleased to present this volume containing the papers accepted at *SEM 2019, co-located with NAACL in Minneapolis, USA, on June 6-7, 2019. Similar to the last edition, *SEM received a high number of submissions, which allowed us to compile a diverse and high-quality program. We received a total of 96 submissions. Out of these, 32 papers were accepted (19 long, 13 short), for an overall acceptance rate of 33%. Submissions were reviewed in nine different areas:", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Introduction Preface by the General Chair and Program Chairs", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "\u2022 Lexical semantics and word representations The papers were evaluated by a program committee consisting of 16 area chairs, assisted by a panel of 332 reviewers. Each submission was reviewed by three reviewers, who were furthermore encouraged to discuss any divergence in evaluations. The papers in each area were subsequently ranked by the area chairs. The final selection was made by the program co-chairs after an independent check of all the reviews and discussion with the area chairs. Reviewers' recommendations were also used to shortlist a set of papers nominated for the Best Paper Award.", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Introduction Preface by the General Chair and Program Chairs", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "The final *SEM 2019 program features 16 oral presentations and 16 posters. We are also very excited to have two excellent keynote speakers: Sam Bowman (New York University, joint keynote with SemEval 2019), who will talk about \"Task-Independent Sentence Understanding\"; and Ellen Riloff (University of Utah), who will discuss her work on \"Identifying Affective Events and the Reasons for their Polarity.\"", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Introduction Preface by the General Chair and Program Chairs", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "We are deeply thankful to all area chairs and reviewers for their help in the selection of the program, for their readiness in engaging in thoughtful discussions about individual papers, and for providing valuable feedback to the authors.", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Introduction Preface by the General Chair and Program Chairs", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "We are grateful to Soujanya Poria for his help in publicizing the conference, and to Kilian Evang for his dedication and thoroughness in turning the program into the proceedings you now have before your eyes. We would also like to thank Priscilla Rasmussen, for all the help she has provided with all our organizational aspects.", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Introduction Preface by the General Chair and Program Chairs", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "We hope you will enjoy the conference, and you will find it inspiring and stimulating! Ekaterina Shutova and Lun-Wei Ku, Program Co-Chairs Rada Mihalcea, General Chair Invited Talk: Identifying Affective Events and the Reasons for their Polarity", | |
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| "eq_spans": [], | |
| "section": "Introduction Preface by the General Chair and Program Chairs", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "Ellen Riloff University of Utah, USA Abstract: Recognizing affective states is essential for narrative text understanding and for applications such as conversational dialogue, summarization, and sarcasm recognition. Many tools have been developed to recognize explicit expressions of sentiment, but affective states can also be inferred from events. This talk will focus on \"affective events\", which are generally desirable or undesirable experiences that implicitly suggest an affective state for the experiencer. For example, buying a home is usually desirable and associated with a positive affective state, but being laid off is undesirable and associated with a negative state. First, we will describe a weakly supervised learning method to induce affective events from a text corpus by optimizing for semantic consistency. Second, we aim to characterize affective events based on Human Needs Categories, which often explain people's motivations, goals, and desires. We will present a co-training model for Human Needs categorization that uses an event expression classifier and an event context classifier to learn from both labeled and unlabeled texts.", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Introduction Preface by the General Chair and Program Chairs", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "Bio: Ellen Riloff is a Professor in the School of Computing at the University of Utah. Her primary research area is natural language processing, with an emphasis on information extraction, affective text analysis, semantic class induction, and bootstrapping methods that learn from unannotated texts. Prof. Riloff has served as the General Chair for the EMNLP 2018 conference, Program Co-Chair for the NAACL HLT 2012 and CoNLL 2004 conferences, on the NAACL Executive Board for 2004-2005 and 2017-2018, the Computational Linguistics Editorial Board, and the Transactions of the Association for Computational Linguistics (TACL) Editorial Board. In 2018, Prof. Riloff was named a Fellow of the Association for Computational Linguistics (ACL).", | |
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| "eq_spans": [], | |
| "section": "Introduction Preface by the General Chair and Program Chairs", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "Sam Bowman New York University, USA Abstract: This talk deals with the goal of task-independent language understanding: building machine learning models that can learn to do most of the hard work of language understanding before they see a single example of the language understanding task they're meant to solve, in service of making the best of modern NLP systems both better and more data-efficient. I'll survey the (dramatic!) progress that the NLP research community has made toward this goal in the last year. In particular, I'll dwell on GLUE-an open-ended shared task competition that measures progress toward this goal for sentence understanding tasks-and I'll preview a few recent and forthcoming analysis papers that attempt to offer a bit of perspective on this recent progress.", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Invited Talk: Task-Independent Sentence Understanding", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "Bio: Sam Bowman has been on the faculty at NYU since 2016, when he finished his PhD with Chris Manning and Chris Potts at Stanford. At NYU, he is a core member of the new school-level Data Science unit, which focuses on machine learning, and a co-PI of the CILVR machine learning lab. Prof. Bowman's research focuses on data, evaluation techniques, and modeling techniques for sentence understanding in natural language processing, and on applications of machine learning to scientific questions in linguistic syntax and semantics. He is an area chair for *SEM 2018, ICLR 2019, and NAACL 2019; he organized a twenty-three person team at JSALT 2018 and earned a 2015 EMNLP Best Resource Paper Award and a 2017 Google Faculty Research Award.", | |
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| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Invited Talk: Task-Independent Sentence Understanding", | |
| "sec_num": null | |
| } | |
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| "raw_text": "Lasha Abzianidze, Heike Adel, Eneko Agirre, Afra Alishahi, Reinald Kim Amplayo, Andrew Anderson, Mikel Artetxe, Ron Artstein, Niranjan Balasubramanian, Francesco Barbieri, Jeremy Barnes, Pierpaolo Basile, Valerio Basile, Roberto Basili, Daniel Beck, Iz Beltagy, Jonathan Berant, Johannes Bjerva, Eduardo Blanco, Danushka Bollegala, Francis Bond, Georgeta Bordea, Ant\u00f3nio Branco, Ellen Breitholz, Ted Briscoe, Susan Windisch Brown, Christopher Bryant, Paul Buite- laar, Heather Burnett, Elena Cabrio, Andrew Caines, Nicoletta Calzolari, Jose Camacho-Collados, Jorge Carrillo-de-Albornoz, Tommaso Caselli, Jackie Chi Kit Cheung, Christos Christodoulopou- los, Grzegorz Chrupa\u0142a, Philipp Cimiano, Anne Cocos, Trevor Cohen, Paul Cook, Mathias Creutz, Valeria dePaiva, Nina Dethlefs, Luigi Di Caro, Georgiana Dinu, Rotem Dror, Aleksandr Drozd, Xinya Du, Ond\u0159ej Du\u0161ek, Guy Emerson, Arash Eshghi, Luis Espinosa Anke, Federico Fancellu, Meng Fang, Stefano Faralli, Mariano Felice, Tim Fernando, Mark Finlayson, Stella Frank, Diego Frassinelli, Richard Futrell, Michael F\u00e4rber, Spandana Gella, Daniela Gerz, Reza Ghaeini, Daniel Gildea, Kevin Gimpel, Hila Gonen, Iryna Gurevych, Udo Hahn, Christian Hardmeier, Daniel Hardt, Bradley Hauer, Luheng He, Kevin Heffernan, Iris Hendrickx, Daniel Hershcovich, Christo- pher Hidey, Eric Holgate, Phu Mon Htut, Xinyu Hua, Lifu Huang, Julie Hunter, Ignacio Iacobacci, Radu Tudor Ionescu, Sujay Kumar Jauhar, Yangfeng Ji, Elena Karagjosova, Yoshihide Kato, Gra- ham Katz, Ruth Kempson, Casey Kennington, Halil Kilicoglu, Yunsu Kim, Najoung Kim, Roman Klinger, Ekaterina Kochmar, Rik Koncel-Kedziorski, Parisa Kordjamshidi, Valia Kordoni, Yan- nis Korkontzelos, Sebastian Krause, Gabriella Lapesa, Jey Han Lau, Phong Le, Gianluca Lebani, I-Ta Lee, Els Lefever, Leo Lepp\u00e4nen, Martha Lewis, Chang Li, Junyi Jessy Li, Jing Li, Maoxi Li, Tal Linzen, Yang Liu, Nikola Ljube\u0161i\u0107, Wei Lu, Andrea Madotto, Jean Maillard, Prodromos Malakasiotis, Jonathan Mallinson, Alda Mari, Ilia Markov, H\u00e9ctor Mart\u00ednez Alonso, Shigeki Mat- subara, Tristan Miller, Roser Morante, Alessandro Moschitti, Larry Moss, Marieke Mur, Smaranda Muresan, Reinhard Muskens, Courtney Napoles, Matteo Negri, Yixin Nie, Malvina Nissim, Ro- drigo Nogueira, Debora Nozza, Jessica Ouyang, Sebastian Pad\u00f3, Alexander Panchenko, Gaurav Pandey, Ramakanth Pasunuru, Panupong Pasupat, Viviana Patti, Adam Pease, Gerald Penn, Fran- cisco Pereira, Laura Perez-Beltrachini, Maciej Piasecki, Karl Pichotta, Mohammad Taher Pilehvar, Yuval Pinter, Carl Pollard, Edoardo Maria Ponti, Octavian Popescu, Maja Popovi\u0107, Christopher Potts, Laurette Pretorius, Matthew Purver, Behrang QasemiZadeh, Alessandro Raganato, Car- los Ramisch, Ari Rappoport, Julia Rayz, Olesya Razuvayevskaya, Martin Riedl, Stephen Roller, Rudolf Rosa, Michael Roth, Subhro Roy, Alla Rozovskaya, Josef Ruppenhofer, Fatiha Sadat, Magnus Sahlgren, Mark Sammons, David Schlangen, Natalie Schluter, Steven Schockaert, Sabine Schulte im Walde, Samira Shaikh, Emily Sheng, Vered Shwartz, Jennifer Sikos, Carina Silberer, Yangqiu Song, Gabriel Stanovsky, Elior Sulem, Stan Szpakowicz, Aarne Talman, Alon Talmor, Niket Tandon, Yi Tay, Patricia Thaine, J\u00f6rg Tiedemann, Sara Tonelli, Antonio Toral, Rocco Tripodi, Chen-Tse Tsai, Shyam Upadhyay, Tim Van de Cruys, Esther van den Berg, Lonneke van der Plas, Benjamin Van Durme, Eva Maria Vecchi, Erik Velldal, Marc Verhagen, Yogarshi Vyas, Ekaterina Vylomova, Alex Wang, Wei Wang, Chuan Wang, Bonnie Webber, Zhongyu Wei, Matthijs Westera, Dominikus Wetzel, John Wieting, Adina Williams, Gr\u00e9goire Winterstein, Guil- laume Wisniewski, Michael Wojatzki, Chien-Sheng Wu, Ruochen Xu, Diyi Yang, Hai Ye, Kather- ine Yu, Frances Yung Table of Contents SURel: A Gold Standard for Incorporating Meaning Shifts into Term Extraction Anna H\u00e4tty, Dominik Schlechtweg and Sabine Schulte im Walde . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1", | |
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| "raw_text": "Generating Animations from Screenplays Yeyao Zhang, Eleftheria Tsipidi, Sasha Schriber, Mubbasir Kapadia, Markus Gross and Ashutosh Modi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 292 x Conference Program Thursday, June 6, 2019 09:00-10:30 Session 1 09:15-09:30 Opening remarks 09:30-10:30 Invited Talk by Sam Bowman (New York University): \"Task-Independent Sen- tence Understanding\" 10:30-11:00 Coffee break 11:00-12:30 Session 2: Lexical Semantics 11:00-11:30 SURel: A Gold Standard for Incorporating Meaning Shifts into Term Extraction Anna H\u00e4tty, Dominik Schlechtweg and Sabine Schulte im Walde 11:30-12:00 Word Usage Similarity Estimation with Sentence Representations and Automatic Substitutes Aina Gar\u00ed Soler, Marianna Apidianaki and Alexandre Allauzen 12:00-12:30 Beyond Context: A New Perspective for Word Embeddings Yichu Zhou and Vivek Srikumar 12:30-14:00 Lunch break 14:00-15:30 Session 3: Sentence Representations 14:00-14:30 Composition of Embeddings : Lessons from Statistical Relational Learning Damien Sileo, Tim Van de Cruys, Camille Pradel and Philippe Muller 14:30-15:00 Multi-Label Transfer Learning for Multi-Relational Semantic Similarity Li Zhang, Steven Wilson and Rada Mihalcea Thursday, June 6, 2019 (continued) 15:00-15:30 Scalable Cross-Lingual Transfer of Neural Sentence Embeddings Hanan Aldarmaki and Mona Diab 15:30-16:00 Coffee break 16:00-18:00 Poster session 16:00-16:50 Poster booster 16:50-18:00 Poster session Second-order contexts from lexical substitutes for few-shot learning of word repre- sentations Qianchu Liu, Diana McCarthy and Anna Korhonen Pre-trained Contextualized Character Embeddings Lead to Major Improvements in Time Normalization: a Detailed Analysis Dongfang Xu, Egoitz Laparra and Steven Bethard Bot2Vec: Learning Representations of Chatbots Jonathan Herzig, Tommy Sandbank, Michal Shmueli-Scheuer and David Konop- nicki Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors Anne Lauscher and Goran Glava\u0161 A Semantic Cover Approach for Topic Modeling Rajagopal Venkatesaramani, Doug Downey, Bradley Malin and Yevgeniy Vorobey- chik MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participants Simon Ostermann, Michael Roth and Manfred Pinkal Deconstructing multimodality: visual properties and visual context in human se- mantic processing Christopher Davis, Luana Bulat, Anita Lilla Ver\u0151 and Ekaterina Shutova Friday, June 7, 2019 09:00-10:30 Session 1 09:00-10:00 Invited talk by Ellen Riloff (University of Utah): \"Identifying Affective Events and the Reasons for their Polarity\" 10:00-10:30 Word Embeddings (Also) Encode Human Personality Stereotypes Oshin Agarwal, Funda Durup\u0131nar, Norman I. Badler and Ani Nenkova 10:30-11:00 Coffee break 11:00-12:30 Session 2: Semantics and Syntax 11:00-11:30 Automatic Accuracy Prediction for AMR Parsing Juri Opitz and Anette Frank 11:30-12:00 An Argument-Marker Model for Syntax-Agnostic Proto-Role Labeling Juri Opitz and Anette Frank 12:00-12:30 Probing What Different NLP Tasks Teach Machines about Function Word Compre- hension Najoung Kim, Roma Patel, Adam Poliak, Patrick Xia, Alex Wang, Tom McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman and Ellie Pavlick 12:30-14:00 Lunch break 14:00-15:30 Session 3: Inference 14:00-14:30 HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze and Johan Bos 14:30-15:00 On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference Yonatan Belinkov, Adam Poliak, Stuart Shieber, Benjamin Van Durme and Alexan- der Rush", | |
| "links": null | |
| }, | |
| "BIBREF29": { | |
| "ref_id": "b29", | |
| "title": "Target Based Speech Act Classification in Political Campaign Text Shivashankar Subramanian, Trevor Cohn and Timothy Baldwin 16:30-17:00 Incivility Detection in Online Comments Farig Sadeque", | |
| "authors": [ | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Friday", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2019, | |
| "venue": "Bayesian Inference Semantics: A Modelling System and A Test Suite Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis", | |
| "volume": "15", | |
| "issue": "", | |
| "pages": "0--17", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Friday, June 7, 2019 (continued) 15:00-15:30 Bayesian Inference Semantics: A Modelling System and A Test Suite Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom Lappin and Aleksandre Maskharashvili 15:30-16:00 Coffee break 16:00-17:30 Session 4: Applications 16:00-16:30 Target Based Speech Act Classification in Political Campaign Text Shivashankar Subramanian, Trevor Cohn and Timothy Baldwin 16:30-17:00 Incivility Detection in Online Comments Farig Sadeque, Stephen Rains, Yotam Shmargad, Kate Kenski, Kevin Coe and Steven Bethard 17:00-17:30 Generating Animations from Screenplays Yeyao Zhang, Eleftheria Tsipidi, Sasha Schriber, Mubbasir Kapadia, Markus Gross and Ashutosh Modi xv", | |
| "links": null | |
| } | |
| }, | |
| "ref_entries": { | |
| "FIGREF0": { | |
| "type_str": "figure", | |
| "uris": null, | |
| "text": "Semantic composition and sentence representations \u2022 Discourse, dialogue and generation \u2022 Machine learning for semantic tasks \u2022 Multilinguality \u2022 Human semantic processing \u2022 Theoretical and formal semantics \u2022 Semantics in NLP applications \u2022 Resources and evaluations", | |
| "num": null | |
| } | |
| } | |
| } | |
| } |