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We investigate a new commonsense inference task: given an event described in a short free-form text ("X drinks coffee in the morning"), a system reasons about the likely intents ("X wants to stay awake") and reactions ("X feels alert") of the event's participants.
A simple sequentially rejective multiple test procedure
Sture Holm. 1979 · 1979
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The berkeley framenet project
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What women and men should be, shouldn’t be, are allowed to be, and don’t have to be: The contents of prescriptive gender stereotypes
Deborah A Prentice and Erica Carranza. 2002 · 2002
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Accurate unlexicalized parsing
Dan Klein and Christopher D Manning. 2003 · 2003
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The PASCAL recognising textual entailment challenge
Ido Dagan, Oren Glickman, and Bernardo Magnini. 2006 · 2006
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Stephan Charles Greene. 2007 · 2007
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Mean girls? The influence of gender portrayals in teen movies on emerging adults’ gender-based attitudes and beliefs
Elizabeth Behm-Morawitz and Dana E Mastro. 2008 · 2008
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Karin Kipper Schuler, Anna Korhonen, and Susan Windisch Brown. 2009 · 2009
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Emmett Tomai and Ken Forbus. 2010 · 2010
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Content analysis of gender roles in media: Where are we now and where should we go?
Rebecca L Collins. 2011 · 2011
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Gender role portrayal and the Disney princesses
Dawn Elizabeth England, Lara Descartes, and Melissa A Collier-Meek. 2011 · 2011
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Did it happen? the pragmatic complexity of veridicality assessment
Marie-Catherine de Marneffe, Christopher D. Manning, and Christopher Potts. 2012 · 2012
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Representing general relational knowledge in conceptnet 5
Robyn Speer and Catherine Havasi. 2012 · 2012
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Yoav Goldberg and Jon Orwant. 2013 · 2013
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Joshua K. Hartshorne, Claire Bonial, and Martha Palmer. 2013 · 2013
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Tomas Mikolov, Kai Chen, Gregory S. Corrado, and Jeffrey Dean. 2013 · 2013
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Kyunghyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, and Yoshua Bengio. 2014 · 2014
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Yoonjung Choi and Janyce Wiebe. 2014 · 2014
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Dipanjan Das, Desai Chen, André F. T. Martins, Nathan Schneider, and Noah A. Smith. 2014 · 2014
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Xiang Li, Aynaz Taheri, Lifu Tu, and Kevin Gimpel. 2016 · 2016
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A corpus and cloze evaluation for deeper understanding of commonsense stories
Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, and James Allen. 2016 · 2016
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Connotation frames: A data-driven investigation
Hannah Rashkin, Sameer Singh, and Yejin Choi. 2016 · 2016
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The psychological meaning of words: LIWC and computerized text analysis methods
Yla R Tausczik and James W Pennebaker. 2016 · 2016
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Universal decompositional semantics on universal dependencies
Aaron Steven White, Drew Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins, and Benjamin Van Durme. 2016 · 2016
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Why is an event affective? Classifying affective events based on human needs
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Yoon Kim. 2014 · 2014
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Hoa Trong Vu, Graham Neubig, Sakriani Sakti, Tomoki Toda, and Satoshi Nakamura. 2014 · 2014
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TensorFlow: Large-scale machine learning on heterogeneous systems
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dandelion Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. 2015 · 2015
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Key female characters in film have more to talk about besides men: Automating the bechdel test
Apoorv Agarwal, Jiehan Zheng, Shruti Kamath, Sriramkumar Balasubramanian, and Shirin Ann Dey. 2015 · 2015
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A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015 · 2015
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Movie script summarization as graph-based scene extraction
Philip John Gorinski and Mirella Lapata. 2015 · 2015
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PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification
Ellie Pavlick, Pushpendre Rastogi, Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2015 · 2015
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Haibo Ding, Tianyu Jiang, and Ellen Riloff. 2017 · 2017
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Learning to paraphrase for question answering
Li Dong, Jonathan Mallinson, Siva Reddy, and Mirella Lapata. 2017 · 2017
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A question answering approach for emotion cause extraction
Lin Gui, Jiannan Hu, Yulan He, Ruifeng Xu, Qin Lu, and Jiachen Du. 2017 · 2017
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Detecting and explaining causes from text for a time series event
Dongyeop Kang, Varun Gangal, Ang Lu, Zheng Chen, and Eduard H. Hovy. 2017 · 2017
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Analyzing gender stereotyping in bollywood movies
Nishtha Madaan, Sameep Mehta, Taneea S. Agrawaal, Vrinda Malhotra, Aditi Aggarwal, and Mayank Saxena. 2017 · 2017
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Linguistic analysis of differences in portrayal of movie characters
Anil Ramakrishna, Victor R Martínez, Nikolaos Malandrakis, Karan Singla, and Shrikanth Narayanan. 2017 · 2017
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Learning lexico-functional patterns for first-person affect
Lena Reed, JiaQi Wu, Shereen Oraby, Pranav Anand, and Marilyn A. Walker. 2017 · 2017
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Connotation frames of power and agency in modern films
Maarten Sap, Marcella Cindy Prasetio, Ari Holtzman, Hannah Rashkin, and Yejin Choi. 2017 · 2017
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Ordinal common-sense inference
Sheng Zhang, Rachel Rudinger, Kevin Duh, and Benjamin Van Durme. 2017 · 2017
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Using neural networks to generate inferential roles for natural language
Peter Blouw and Chris Eliasmith. 2018 · 2018
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