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In the last few years, many different methods have been focusing on using deep recurrent neural networks for natural language generation.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
Earlier work this paper cites.
METEOR: an automatic metric for MT evaluation with high levels of correlation with human judgments
Alon Lavie and Abhaya Agarwal · 2007
Earlier work this paper cites.
On the difficulty of training recurrent neural networks
Razvan Pascanu, Tomas Mikolov, and Yoshua Bengio · 2013
Earlier work this paper cites.
Learning phrase representations using RNN encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le · 2014
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2015
Earlier work this paper cites.
Deep visual-semantic alignments for generating image descriptions
Andrej Karpathy and Fei-Fei Li · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
Addressing the rare word problem in neural machine translation
Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, and Wojciech Zaremba · 2015
Cited alongside, same era.
Cider: Consensus-based image description evaluation
Ramakrishna Vedantam, C. Lawrence Zitnick, and Devi Parikh · 2015
Cited alongside, same era.
Pointer networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly · 2015
Cited alongside, same era.
Semantically conditioned lstm-based natural language generation for spoken dialogue systems
Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Pei-hao Su, David Vandyke, and Steve J. Young · 2015
Cited alongside, same era.
Improving sequence to sequence learning for morphological inflection generation: The BIU-MIT systems for the SIGMORPHON 2016 shared task for morphological reinflection
Roee Aharoni, Yoav Goldberg, and Yonatan Belinkov · 2016
Cited alongside, same era.
Achieving open vocabulary neural machine translation with hybrid word-character models
Minh-Thang Luong and Christopher D. Manning · 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
Later among the works it cites.
Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch · 2016
Later among the works it cites.
A surprisingly effective out-of-the-box char2char model on the E2E NLG challenge dataset
Shubham Agarwal and Marc Dymetman · 2017
Later among the works it cites.
The E2E dataset: New challenges for end-to-end generation
Jekaterina Novikova, Ondrej Dusek, and Verena Rieser · 2017
Later among the works it cites.
Get to the point: Summarization with pointer-generator networks
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Ondrej Dusek and Filip Jurcícek · 2016
Cited alongside, same era.
Natural language generation through character-based rnns with finite-state prior knowledge
Raghav Goyal, Marc Dymetman, and Éric Gaussier · 2016
Cited alongside, same era.
Incorporating copying mechanism in sequence-to-sequence learning
Jiatao Gu, Zhengdong Lu, Hang Li, and Victor O. K. Li · 2016
Cited alongside, same era.
The findme approach to assisted browsing
Robin D. Burke, Kristian J. Hammond, and Benjamin C. Young
Cited in the paper.
Automatic evaluation of machine translation quality using n-gram co-occurrence statistics
George Doddington
Cited in the paper.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin
Cited in the paper.
A learning algorithm for continually running fully recurrent neural networks
Ronald J. Williams and David Zipser
Cited in the paper.
Abigail See, Peter J. Liu, and Christopher D. Manning · 2017
Later among the works it cites.
Challenges in data-to-document generation
Sam Wiseman, Stuart M. Shieber, and Alexander M. Rush · 2017
Later among the works it cites.
Character-level language modeling with deeper self-attention
Rami Al-Rfou, Dokook Choe, Noah Constant, Mandy Guo, and Llion Jones · 2019
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