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We investigate neural models' ability to capture lexicosyntactic inferences: inferences triggered by the interaction of lexical and syntactic information.
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Message Understanding Conference-6: A Brief History
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A minimalist theory of PRO and control
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The syntax of nonfinite complementation: An economy approach
Željko Bošković. 1997 · 1997
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Null case and the distribution of PRO
Roger Martin. 2001 · 2001
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On the conversational basis of some presuppositions
Mandy Simons. 2001 · 2001
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Lexical alternatives as a source of pragmatic presuppositions
Dorit Abusch. 2002 · 2002
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The Pascal Recognising Textual Entailment Challenge
Ido Dagan, Oren Glickman, and Bernardo Magnini. 2006 · 2006
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Computing relative polarity for textual inference
Rowan Nairn, Cleo Condoravdi, and Lauri Karttunen. 2006 · 2006
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Neg-raising and polarity
Jon Robert Gajewski. 2007 · 2007
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Observations on embedding verbs, evidentiality, and presupposition
Mandy Simons. 2007 · 2007
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A phrase-based alignment model for natural language inference
Bill MacCartney, Michel Galley, and Christopher D Manning. 2008 · 2008
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FactBank: a corpus annotated with event factuality
Roser Saurí and James Pustejovsky. 2009 · 2009
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Presupposition triggering from alternatives
Dorit Abusch. 2010 · 2010
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What projects and why
Mandy Simons, Judith Tonhauser, David Beaver, and Craige Roberts. 2010 · 2010
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Control and Restructuring at the Syntax-Semantics Interface
Thomas Angelo Grano. 2012 · 2012
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Simple and phrasal implicatives
Lauri Karttunen. 2012 · 2012
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The Accommodation Potential of Implicative Verbs
Noor van Leusen. 2012 · 2012
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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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Are you sure that this happened? assessing the factuality degree of events in text
Roser Saurí and James Pustejovsky. 2012 · 2012
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The implications of managing
Rebekah Baglini and Itamar Francez. 2016 · 2016
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A fast unified model for parsing and sentence understanding
Samuel R Bowman, Jon Gauthier, Abhinav Rastogi, Raghav Gupta, Christopher D Manning, and Christopher Potts. 2016 · 2016
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MEANTIME, the NewsReader Multilingual Event and Time Corpus
Anne-Lyse Minard, Manuela Speranza, Ruben Urizar, Begoña Altuna, Marieke van Erp, Anneleen Schoen, and Chantal van Son. 2016 · 2016
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End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
Makoto Miwa and Mohit Bansal. 2016 · 2016
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Causal necessity and sufficiency in implicativity
Prerna Nadathur. 2016 · 2016
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Most ”babies” are ”little” and most ”problems” are ”huge”: Compositional Entailment in Adjective-Nouns
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Alex Graves, Navdeep Jaitly, and Abdel-rahman Mohamed. 2013 · 2013
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You will be lucky to break even
Lauri Karttunen. 2013 · 2013
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A general and simple method for obtaining R2 from generalized linear mixed-effects models
Shinichi Nakagawa and Holger Schielzeth. 2013 · 2013
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Factivity, belief and discourse
Pranav Anand and Valentine Hacquard. 2014 · 2014
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Mohit Iyyer, Jordan Boyd-Graber, Leonardo Claudino, Richard Socher, and Hal Daumé III. 2014 · 2014
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Ellie Pavlick and Chris Callison-Burch. 2016 · 2016
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A computational model of S-selection
Aaron Steven White and Kyle Rawlins. 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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Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Alexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault, and Antoine Bordes. 2017 · 2017
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Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets
Gabriel Stanovsky, Judith Eckle-Kohler, Yevgeniy Puzikov, Ido Dagan, and Iryna Gurevych. 2017 · 2017
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Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework
Aaron Steven White, Pushpendre Rastogi, Kevin Duh, and Benjamin Van Durme. 2017 · 2017
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SentEval: An Evaluation Toolkit for Universal Sentence Representations
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Annotation Artifacts in Natural Language Inference Data
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On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference
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Neural Models of Factuality
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Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment
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The role of veridicality and factivity in clause selection
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On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
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