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Recent approaches to data-to-text generation have shown great promise thanks to the use of large-scale datasets and the application of neural network architectures which are trained end-to-end.
Functional sentence perspective
Susumu Kuno. 1972 · 1972
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Givenness, contrastiveness, definiteness, subjects, topics, a nd point of view
Wallace L. Chafe. 1976 · 1976
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Cohesion in English
M. A. K. Halliday and Ruqaiya Hasan. 1976 · 1976
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Discourse referents
Lauri Karttunen. 1976 · 1976
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Comprehension and the given- new conract
Herbert H. Clark and Susan E. Haviland. 1977 · 1977
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Toward a taxonomy of given- new information
Ellen Prince. 1981 · 1981
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Rhetorical structure theory
William C. Mann and Sandra A. Thomson. 1988 · 1988
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Getting the message across in RST-based text generation
Donia Scott and Clarisse Sieckenius de Souza. 1990 · 1990
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An efficient gradient-based algorithm for on-line training of recurrent network trajectories
Ronald J. Williams and Jing Peng. 1990 · 1990
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Best-worst scaling: A model for the largest difference judgments
Jordan J Louviere and George G Woodworth. 1991 · 1991
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Revision-based generation of Natural Language Summaries providing historical Background
Jacques Robin. 1994 · 1994
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Centering: A framework for modeling the local coherence of discourse
Barbara J. Grosz, Aravind K. Joshi, and Scott Weinstein. 1995 · 1995
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Building applied natural language generation systems
Ehud Reiter and Robert Dale. 1997 · 1997
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Reactive content selection in the generation of real-time soccer commentary
Kumiko Tanaka-Ishii, Koiti Hasida, and Itsuki Noda. 1998 · 1998
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Building natural language generation systems
Ehud Reiter and Robert Dale. 2000 · 2000
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Character-based interactive storytelling
Marc Cavazza, Fred Charles, and Steven J Mead. 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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Evaluating centering-based metrics of coherence
Nikiforos Karamanis, Massimo Poesio, Chris Mellish, and Jon Oberlander. 2004 · 2004
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Optimizing referential coherence in text generation
Rodger Kibble and Richard Power. 2004 · 2004
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Dialogue generation in character-based interactive storytelling
Marc Cavazza and Fred Charles. 2005 · 2005
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Globally coherent text generation with neural checklist models
Chloé Kiddon, Luke Zettlemoyer, and Yejin Choi. 2016 · 2016
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Neural text generation from structured data with application to the biography domain
Rémi Lebret, David Grangier, and Michael Auli. 2016 · 2016
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What to talk about and how? selective generation using lstms with coarse-to-fine alignment
Hongyuan Mei, Mohit Bansal, and Matthew R. Walter. 2016 · 2016
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Hierarchical attention networks for document classification
Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, and Eduard Hovy. 2016 · 2016
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Tracking the world state with recurrent entity networks
Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, and Yann LeCun. 2017 · 2017
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Dynamic entity representations in neural language models
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Maxdiff analysis: Simple counting, individual-level logit, and hb
Bryan Orme. 2009 · 2009
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Adaptive subgradient methods for online learning and stochastic optimization
John C. Duchi, Elad Hazan, and Yoram Singer. 2011 · 2011
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Perceived or not perceived: Film character models for expressive nlg
Marilyn A Walker, Ricky Grant, Jennifer Sawyer, Grace I Lin, Noah Wardrip-Fruin, and Michael Buell. 2011 · 2011
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
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Best-worst scaling: Theory, methods and applications
Jordan J Louviere, Terry N Flynn, and Anthony Alfred John Marley. 2015 · 2015
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Effective approaches to attention-based neural machine translation
Thang Luong, Hieu Pham, and Christopher D. Manning. 2015 · 2015
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Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, and Noah A. Smith. 2017 · 2017
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Opennmt: Open-source toolkit for neural machine translation
Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, and Alexander Rush. 2017 · 2017
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Challenges in data-to-document generation
Sam Wiseman, Stuart Shieber, and Alexander Rush. 2017 · 2017
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Simulating action dynamics with neural process networks
Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, and Yejin Choi. 2018 · 2018
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Neural text generation in stories using entity representations as context
Elizabeth Clark, Yangfeng Ji, and Noah A. Smith. 2018 · 2018
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Survey of the state of the art in natural language generation: Core tasks, applications and evaluation
Albert Gatt and Emiel Krahmer. 2018 · 2018
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Bootstrapping generators from noisy data
Laura Perez-Beltrachini and Mirella Lapata. 2018 · 2018
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Data-to-text generation with content selection and planning
Ratish Puduppully, Li Dong, and Mirella Lapata. 2019 · 2019
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