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Generative models for text have substantially contributed to tasks like machine translation and language modeling, using maximum likelihood optimization (MLE).
A focused backpropagation algorithm for temporal
Michael C Mozer · 1995
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BLEU : a Method for Automatic Evaluation of Machine Translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-jing Zhu · 2002
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Chinese Poetry Generation with Recurrent Neural Networks
Xingxing Zhang and Mirella Lapata · 2014
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Generative Adversarial Nets
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Adam: Amethod for stochastic optimization
Diederik P Kingma and Jimmy Lei Ba · 2014
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Complexity of Word Collocation Networks: A Preliminary Structural Analysis
Shibamouli Lahiri · 2014
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A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan · 2015
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Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily Denton, Soumith Chintala, Arthur Szlam, and Rob Fergus · 2015
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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 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, Greg Corrado, Macduff Hughes, and Jeffrey Dean · 2016
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Word Ordering Without Syntax
Allen Schmaltz, Alexander M. Rush, and Stuart M. Shieber · 2016
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Generating chinese classical poems with RNN encoder-decoder
Xiaoyuan Yi, Ruoyu Li, and Maosong Sun · 2016
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Chinese song iambics generation with neural attention-based model
Qixin Wang, Tianyi Luo, Dong Wang, and Chao Xing · 2016
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Categorical reparameterization with gumbel-softmax
Eric Jang, Shixiang Gu, and Ben Poole · 2016
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A note on the evaluation of generative models
Lucas Theis, Aaron van den Oord, and Matthias Bethge · 2016
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Regularizing and optimizing lstm language models
Stephen Merity, Nitish Shirish Keskar, and Richard Socher · 2017
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Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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MaskGAN: Better Text Generation via Filling in the______
William Fedus, Ian Goodfellow, and Andrew M. Dai · 2018
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Adversarial Text Generation via Feature-Mover’s Distance
Liqun Chen, Shuyang Dai, Chenyang Tao, Dinghan Shen, Zhe Gan, Haichao Zhang, Yizhe Zhang, and Lawrence Carin · 2018
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Fine-tuned language models for text classification
Jeremy Howard and Sebastian Ruder · 2018
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models
Louis Shao, Stephan Gouws, Denny Britz, Anna Goldie, Brian Strope, and Ray Kurzweil · 2017
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A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher · 2017
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SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu, Weinan Zhang, Jun Wang, and Yong Yu · 2017
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Evaluating creative language generation: The case of rap lyric ghostwriting
Peter Potash, Alexey Romanov, and Anna Rumshisky · 2018
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever · 2019
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The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Maxwell Forbes, and Yejin Choi · 2019
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Transformer-xl: Attentive language models beyond a fixed-length context
Zihang Dai, Zhilin Yang, Yiming Yang, William W Cohen, Jaime Carbonell, Quoc V Le, and Ruslan Salakhutdinov · 2019
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