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Natural language generation lies at the core of generative dialogue systems and conversational agents.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Generation that exploits corpus-based statistical knowledge
Irene Langkilde and Kevin Knight. 1998 · 1998
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Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner. 1998 · 1998
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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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Trainable sentence planning for complex information presentation in spoken dialog systems
Amanda Stent, Rashmi Prasad, and Marilyn Walker. 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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The nist 2008 metrics for machine translation challenge – overview, methodology, metrics, and results
Mark Przybocki, Kay Peterson, Sébastien Bronsart, and Gregory Sanders. 2009 · 2008
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Phrase-based statistical language generation using graphical models and active learning
François Mairesse, Milica Gašić, Filip Jurčíček, Simon Keizer, Blaise Thomson, Kai Yu, and Steve Young. 2010 · 2010
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Natural language generation as planning under uncertainty for spoken dialogue systems
Verena Rieser and Oliver Lemon. 2010 · 2010
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A global model for concept-to-text generation
Ioannis Konstas and Mirella Lapata. 2013 · 2013
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart van Merriënboer, Çaglar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
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Training a statistical surface realiser from automatic slot labelling
Heriberto Cuayáhuitl, Nina Dethlefs, Helen Hastie, and Xingkun Liu. 2014 · 2014
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Robust dialog state tracking using delexicalised recurrent neural networks and unsupervised adaptation
Matthew Henderson, Blaise Thomson, and Steve Young. 2014 · 2014
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Stochastic language generation in dialogue using factored language models
François Mairesse and Steve Young. 2014 · 2014
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Imitation learning for language generation from unaligned data
Gerasimos Lampouras and Andreas Vlachos. 2016 · 2016
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How not to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation
Chia-Wei Liu, Ryan Joseph Lowe, Iulian Serban, Michael Noseworthy, Laurent Charlin, and Joelle Pineau. 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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Crowd-sourcing nlg data: Pictures elicit better data
Jekaterina Novikova, Oliver Lemon, and Verena Rieser. 2016 · 2016
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Multi-domain neural network language generation for spoken dialogue systems
Tsung-Hsien Wen, Milica Gašić, Nikola Mrkšić, Lina M. Rojas-Barahona, Pei-Hao Su, David Vandyke, and Steve Young. 2016 · 2016
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Christopher Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven Bethard, and David McClosky. 2014 · 2014
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Efficient elicitation of annotations for human evaluation of machine translation
Keisuke Sakaguchi, Matt Post, and Benjamin Van Durme. 2014 · 2014
Cited alongside, same era.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
Cited alongside, same era.
Sequence-to-sequence generation for spoken dialogue via deep syntax trees and strings
Ondřej Dušek and Filip Jurčíček. 2016 · 2016
Cited alongside, same era.
Why we need new evaluation metrics for nlg
Jekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry, and Verena Rieser. 2017a
Cited in the paper.
The E2E NLG shared task
Jekaterina Novikova, Ondřej Dušek, and Verena Rieser. 2017b
Cited in the paper.
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Gregory S. Corrado, Macduff Hughes, and Jeffrey Dean. 2016 · 2016
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A surprisingly effective out-of-the-box char2char model on the e2e nlg challenge dataset
Shubham Agarwal and Marc Dymetman. 2017 · 2017
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Massive exploration of neural machine translation architectures
Denny Britz, Anna Goldie, Minh-Thang Luong, and Quoc V. Le. 2017 · 2017
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Convolutional sequence to sequence learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann Dauphin. 2017 · 2017
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To plan or not to plan? discourse planning in slot-value informed sequence to sequence models for language generation
Neha Nayak, Dilek Hakkani-Tur, Marilyn Walker, and Larry Heck. 2017 · 2017
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