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This paper describes our submission to the E2E NLG Challenge.
Long short-term memory
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Oriol Vinyals and Quoc Le. 2015 · 2015
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Semantically conditioned lstm-based natural language generation for spoken dialogue systems
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Tensorflow: Large-scale machine learning on heterogeneous distributed systems
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mane, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viegas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. 2016 · 2016
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A character-level decoder without explicit segmentation for neural machine translation
Junyoung Chung, Kyunghyun Cho, and Yoshua Bengio. 2016 · 2016
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Sequence-to-sequence generation for spoken dialogue via deep syntax trees and strings
Sequence-based structured prediction for semantic parsing
Chunyang Xiao, Marc Dymetman, and Claire Gardent. 2016 · 2016
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An efficient character-level neural machine translation
Shenjian Zhao and Zhihua Zhang. 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, Thang Luong, and Quoc Le. 2017 · 2017
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Learning to generate one-sentence biographies from wikidata
Andrew Chisholm, Will Radford, and Ben Hachey. 2017 · 2017
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Crowd-sourcing NLG Data: Pictures Elicit Better Data
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Natural language generation in dialogue using lexicalized and delexicalized data
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Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klinger, 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, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2016 · 2016
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Referenceless quality estimation for natural language generation
Ondřej Dušek, Jekaterina Novikova, and Verena Rieser. 2017 · 2017
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Beam search strategies for neural machine translation
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Neural amr: Sequence-to-sequence models for parsing and generation
Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, and Luke Zettlemoyer. 2017 · 2017
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To plan or not to plan? sequence to sequence generation for language generation in dialogue systems
Neha Nayak, Dilek Hakkani-Tur, Marilyn Walker, and Larry Heck. 2017 · 2017
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The E2E dataset: New challenges for end-to-end generation
Jekaterina Novikova, Ondrej Dušek, and Verena Rieser. 2017 · 2017
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