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Variational auto-encoders (VAEs) are widely used in natural language generation due to the regularization of the latent space.
Improved neural machine translation with a syntax-aware encoder and decoder
Huadong Chen, Shujian Huang, David Chiang, and Jiajun Chen. 2017 · 1945
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Grammar variational autoencoder
Matt J. Kusner, Brooks Paige, and José Miguel Hernández-Lobato. 2017 · 1954
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Simple fast algorithms for the editing distance between trees and related problems
Kaizhong Zhang and Dennis Shasha. 1989 · 1989
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Building a large annotated corpus of english: The Penn Treebank
Mitchell P Marcus, Mary Ann Marcinkiewicz, and Beatrice Santorini. 1993 · 1993
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A structured language model
Ciprian Chelba. 1997 · 1997
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Immediate-head parsing for language models
Eugene Charniak. 2001 · 2001
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Unsupervised induction of stochastic context-free grammars using distributional clustering
Alexander Clark. 2001 · 2001
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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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Recurrent neural network based language model
Tomáš Mikolov, Martin Karafiát, Lukáš Burget, Jan Černockỳ, and Sanjeev Khudanpur. 2010 · 2010
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Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E Hinton. 2010 · 2010
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Learning phrase representations using RNN encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
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Auto-encoding variational Bayes
Diederik P Kingma and Max Welling. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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Grammar as a foreign language
Oriol Vinyals, Łukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, and Geoffrey Hinton. 2015 · 2015
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Generating sentences from a continuous space
Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew Dai, Rafal Jozefowicz, and Samy Bengio. 2016 · 2016
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Recurrent neural network grammars
Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, and Noah A Smith. 2016 · 2016
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Tree-to-sequence attentional neural machine translation
Akiko Eriguchi, Kazuma Hashimoto, and Yoshimasa Tsuruoka. 2016 · 2016
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Toward controlled generation of text
Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, and Eric P. Xing. 2017 · 2017
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What do recurrent neural network grammars learn about syntax?
Neural machine translation with word predictions
Rongxiang Weng, Shujian Huang, Zaixiang Zheng, XIN-YU DAI, and CHEN Jiajun. 2017 · 2017
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Chunk-based bi-scale decoder for neural machine translation
Hao Zhou, Zhaopeng Tu, Shujian Huang, Xiaohua Liu, Hang Li, and Jiajun Chen. 2017 · 2017
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Syntax-directed variational autoencoder for structured data
Hanjun Dai, Yingtao Tian, Bo Dai, Steven Skiena, and Le Song. 2018 · 2018
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Syntactic manipulation for generating more diverse and interesting texts
Jan Milan Deriu and Mark Cieliebak. 2018 · 2018
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Style transfer in text: Exploration and evaluation
Zhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao, and Rui Yan. 2018 · 2018
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Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, and Noah A Smith. 2017 · 2017
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Modeling source syntax for neural machine translation
Junhui Li, Deyi Xiong, Zhaopeng Tu, Muhua Zhu, Min Zhang, and Guodong Zhou. 2017 · 2017
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A hybrid convolutional variational autoencoder for text generation
Stanislau Semeniuta, Aliaksei Severyn, and Erhardt Barth. 2017 · 2017
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A hierarchical latent variable encoder-decoder model for generating dialogues
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C Courville, and Yoshua Bengio. 2017 · 2017
Cited alongside, same era.
Neural language modeling by jointly learning syntax and lexicon
Yikang Shen, Zhouhan Lin, Chin-Wei Huang, and Aaron Courville. 2017 · 2017
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Adversarial discriminative domain adaptation
Eric Tzeng, Judy Hoffman, Kate Saenko, and Trevor Darrell. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Automatic chemical design using a data-driven continuous representation of molecules
Rafael Gómez-Bombarelli, Jennifer N Wei, David Duvenaud, José Miguel Hernández-Lobato, Benjamín Sánchez-Lengeling, Dennis Sheberla, Jorge Aguilera-Iparraguirre, Timothy D Hirzel, Ryan P Adams, and Alán Aspuru-Guzik. 2018 · 2018
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A deep generative framework for paraphrase generation
Ankush Gupta, Arvind Agarwal, Prawaan Singh, and Piyush Rai. 2018 · 2018
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Disentangled representation learning for text style transfer
Vineet John, Lili Mou, Hareesh Bahuleyan, and Olga Vechtomova. 2018 · 2018
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Improving sequence-to-sequence constituency parsing
Lemao Liu, Muhua Zhu, and Shuming Shi. 2018 · 2018
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Bag-of-words as target for neural machine translation
Shuming Ma, Xu Sun, Yizhong Wang, and Junyang Lin. 2018 · 2018
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Adversarially regularized autoencoders
Junbo Jake Zhao, Yoon Kim, Kelly Zhang, Alexander M. Rush, and Yann LeCun. 2018 · 2018
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CGMH: Constrained sentence generation by Metropolis-Hastings sampling
Ning Miao, Hao Zhou, Lili Mou, Rui Yan, and Lei Li. 2019 · 2019
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