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We improve the informativeness of models for conditional text generation using techniques from computational pragmatics.
Logic and conversation
Herbert P Grice. 1970 · 1970
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Toward a new taxonomy for pragmatic inference: Q-based and r-based implicature
Laurence Horn. 1984 · 1984
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Automatic evaluation of machine translation quality using n-gram co-occurrence statistics
George Doddington. 2002 · 2002
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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METEOR: An automatic metric for MT evaluation with high levels of correlation with human judgments
Alon Lavie and Abhaya Agarwal. 2007 · 2007
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Informative communication in word production and word learning
Michael C Frank, Noah D Goodman, Peter Lai, and Joshua B Tenenbaum. 2009 · 2009
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A game-theoretic approach to generating spatial descriptions
Dave Golland, Percy Liang, and Dan Klein. 2010 · 2010
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Automatic summarization
Ani Nenkova and Kathleen McKeown. 2011 · 2011
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Predicting pragmatic reasoning in language games
Michael C Frank and Noah D Goodman. 2012 · 2012
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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Learning phrase representations using RNN encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
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Teaching machines to read and comprehend
Karl Moritz Hermann, Tomás Kociský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015 · 2015
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Generation and comprehension of unambiguous object descriptions
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan Yuille, and Kevin Murphy. 2015 · 2015
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Learning in the Rational Speech Acts model
Will Monroe and Christopher Potts. 2015 · 2015
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Why discourse affects speakers’ choice of referring expressions
Naho Orita, Eliana Vornov, Naomi Feldman, and Hal Daumé III. 2015 · 2015
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A neural attention model for abstractive sentence summarization
Alexander M. Rush, Sumit Chopra, and Jason Weston. 2015 · 2015
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CIDEr: Consensus-based image description evaluation
Ramakrishna Vedantam, C. Lawrence Zitnick, and Devi Parikh. 2015 · 2015
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Reasoning about pragmatics with neural listeners and speakers
Context-aware captions from context-agnostic supervision
Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, and Gal Chechik. 2017 · 2017
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Deep communicating agents for abstractive summarization
Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, and Yejin Choi. 2018 · 2018
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Fast abstractive summarization with reinforce-selected sentence rewriting
Yen-Chun Chen and Mohit Bansal. 2018 · 2018
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Pragmatically informative image captioning with character-level reference
Reuben Cohn-Gordon, Noah Goodman, and Chris Potts. 2018 · 2018
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Findings of the E2E NLG challenge
Ondřej Dušek, Jekaterina Novikova, and Verena Rieser. 2018 · 2018
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Unified pragmatic models for generating and following instructions
Daniel Fried, Jacob Andreas, and Dan Klein. 2018 · 2018
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Jacob Andreas and Dan Klein. 2016 · 2016
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Neural summarization by extracting sentences and words
Jianpeng Cheng and Mirella Lapata. 2016 · 2016
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Sequence-to-sequence generation for spoken dialogue via deep syntax trees and strings
Ondrej Dušek and Filip Jurčíček. 2016 · 2016
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Abstractive text summarization using sequence-to-sequence rnns and beyond
Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Caglar Gulcehre, and Bing Xiang. 2016 · 2016
Cited alongside, same era.
Colors in context: A pragmatic neural model for grounded language understanding
Will Monroe, Robert XD Hawkins, Noah D Goodman, and Christopher Potts. 2017 · 2017
Cited alongside, same era.
Summarunner: A recurrent neural network based sequence model for extractive summarization of documents
Ramesh Nallapati, Feifei Zhai, and Bowen Zhou. 2017 · 2017
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The E2E dataset: New challenges for end-to-end generation
Jekaterina Novikova, Ondřej Dušek, and Verena Rieser. 2017 · 2017
Cited alongside, same era.
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Technical report for E2E NLG challenge
Heng Gong. 2018 · 2018
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A deep ensemble model with slot alignment for sequence-to-sequence natural language generation
Juraj Juraska, Panagiotis Karagiannis, Kevin Bowden, and Marilyn Walker. 2018 · 2018
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Generating bilingual pragmatic color references
Will Monroe, Jennifer Hu, Andrew Jong, and Christopher Potts. 2018 · 2018
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A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2018 · 2018
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E2E NLG challenge: Neural models vs. templates
Yevgeniy Puzikov and Iryna Gurevych. 2018 · 2018
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Attention regularized sequence-to-sequence learning for E2E NLG challenge
Biao Zhang, Jing Yang, Qian Lin, and Jinsong Su. 2018 · 2018
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