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Controlled text generation techniques aim to regulate specific attributes (e.g.
Introducing dice, jaccard, and other label overlap measures to itk
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Recursive deep models for semantic compositionality over a sentiment treebank
R. Socher, A. Perelygin, J. Wu, J. Chuang, C. D. Manning, A. Ng, and C. Potts · 2013
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Neural machine translation by jointly learning to align and translate
D. Bahdanau, K. Cho, and Y. Bengio · 2014
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Jointly modeling aspects, ratings and sentiments for movie recommendation (jmars)
Q. Diao, M. Qiu, C.-Y. Wu, A. J. Smola, J. Jiang, and C. Wang · 2014
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Sequence to sequence learning with neural networks
I. Sutskever, O. Vinyals, and Q. V. Le · 2014
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Generating sentences from a continuous space
S. R. Bowman, L. Vilnis, O. Vinyals, and Dai · 2015
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Variational inference with normalizing flows
D. J. Rezende and S. Mohamed · 2015
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Infogan: Interpretable representation learning by information maximizing generative adversarial nets
X. Chen, Y. Duan, R. Houthooft, J. Schulman, I. Sutskever, and P. Abbeel · 2016
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Density estimation using real nvp
L. Dinh, J. Sohl-Dickstein, and S. Bengio · 2016
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Improved variational inference with inverse autoregressive flow
D. P. Kingma, T. Salimans, R. Jozefowicz, X. Chen, I. Sutskever, and M. Welling · 2016
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beta-vae: Learning basic visual concepts with a constrained variational framework
I. Higgins, L. Matthey, A. Pal, C. Burgess, X. Glorot, M. Botvinick, S. Mohamed, and A. Lerchner · 2017
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Toward controlled generation of text
Z. Hu, Z. Yang, X. Liang, R. Salakhutdinov, and E. P. Xing · 2017
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Adversarial evaluation of dialogue models
A. Kannan and O. Vinyals · 2017
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Variational inference of disentangled latent concepts from unlabeled observations
A. Kumar, P. Sattigeri, and A. Balakrishnan · 2017
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Deep recurrent generative decoder for abstractive text summarization
P. Li, W. Lam, L. Bing, and Z. Wang · 2017
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Style transfer in text: Exploration and evaluation
Z. Fu, X. Tan, N. Peng, D. Zhao, and R. Yan · 2018
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Disentangled representation learning for non-parallel text style transfer
V. John, L. Mou, H. Bahuleyan, and O. Vechtomova · 2018
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H. Kim and A. Mnih · 2018
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Content preserving text generation with attribute controls
L. Logeswaran, H. Lee, and S. Bengio · 2018
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Sentiment transfer using seq2seq adversarial autoencoders
A. Singh and R. Palod · 2018
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Style transfer from non-parallel text by cross-alignment
T. Shen, T. Lei, R. Barzilay, and T. Jaakkola · 2017
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Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
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Adversarially regularized autoencoders
J. Zhao, Y. Kim, K. Zhang, A. M. Rush, and Y. LeCun · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova · 2018
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Y. Zhang, N. Ding, and R. Soricut · 2018
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Style transfer as unsupervised machine translation
Z. Zhang, S. Ren, S. Liu, J. Wang, P. Chen, M. Li, M. Zhou, and E. Chen · 2018
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Well-read students learn better: On the importance of pre-training compact models
I. Turc, M.-W. Chang, K. Lee, and K. Toutanova · 2019
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Controllable unsupervised text attribute transfer via editing entangled latent representation
K. Wang, H. Hua, and X. Wan · 2019
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