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This paper describes the E2E data, a new dataset for training end-to-end, data-driven natural language generation systems in the restaurant domain, which is ten times bigger than existing, frequently used datasets in this area.
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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Trainable sentence planning for complex information presentations in spoken dialog systems
Amanda Stent, Rashmi Prasad, and Marilyn Walker. 2004 · 2004
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Generation and evaluation of user tailored responses in multimodal dialogue
Marilyn A Walker, Stephen J Whittaker, Amanda Stent, Preetam Maloor, Johanna Moore, Michael Johnston, and Gunaranjan Vasireddy. 2004 · 2004
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Information presentation in spoken dialogue systems
Vera Demberg and Johanna D Moore. 2006 · 2006
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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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Learning to sportscast: A test of grounded language acquisition
David L. Chen and Raymond J. Mooney. 2008 · 2008
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Sequence-to-sequence generation for spoken dialogue via deep syntax trees and strings
Ondřej Dušek and Filip Jurčíček. 2016a · 2008
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Automatic measurement of syntactic complexity in child language acquisition
Xiaofei Lu. 2009 · 2009
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Natural language generation as planning under uncertainty for spoken dialogue systems
Verena Rieser and Oliver Lemon. 2009 · 2009
Cited alongside, same era.
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
Cited alongside, same era.
The relationship of lexical richness to the quality of ESL learners’ oral narratives
Xiaofei Lu. 2012 · 2011
Cited alongside, same era.
Computational methods for corpus annotation and analysis
Xiaofei Lu. 2014 · 2014
Cited alongside, same era.
Natural language generation as incremental planning under uncertainty: Adaptive information presentation for statistical dialogue systems
CIDEr: Consensus-based image description evaluation
Ramakrishna Vedantam, C. Lawrence Zitnick, and Devi Parikh. 2015 · 2015
Later among the works it cites.
Semantically conditioned LSTM-based natural language generation for spoken dialogue systems
Tsung-Hsien Wen, Milica Gašić, Nikola Mrkšić, Pei-Hao Su, David Vandyke, and Steve Young. 2015 · 2015
Later among the works it cites.
Imitation learning for language generation from unaligned data
Gerasimos Lampouras and Andreas Vlachos. 2016 · 2016
Later among the works it cites.
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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Verena Rieser, Oliver Lemon, and Simon Keizer. 2014 · 2014
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
D. Bahdanau, K. Cho, and Y. Bengio. 2015 · 2015
Cited alongside, same era.
Microsoft COCO Captions: Data Collection and Evaluation Server
Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollar, and C. Lawrence Zitnick. 2015 · 2015
Cited alongside, same era.
Training a natural language generator from unaligned data
Ondřej Dušek and Filip Jurčíček. 2015 · 2015
Cited alongside, same era.
A context-aware natural language generator for dialogue systems
Ondřej Dušek and Filip Jurčíček. 2016b
Cited in the paper.
Natural language generation in dialogue using lexicalized and delexicalized data
Shikhar Sharma, Jing He, Kaheer Suleman, Hannes Schulz, and Philip Bachman. 2016 · 2016
Later among the works it cites.
Multi-domain neural network language generation for spoken dialogue systems
Tsung-Hsien Wen, Milica Gašić, Nikola Mrkšić, Lina Maria Rojas-Barahona, Pei-hao Su, David Vandyke, and Steve J. Young. 2016 · 2016
Later among the works it cites.
Analysing data-to-text generation benchmarks
Laura Perez-Beltrachini and Claire Gardent. 2017 · 2017
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