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How to generate descriptions from structured data organized in tables? Existing approaches using neural encoder-decoder models often suffer from lacking diversity.
A generalized mean field algorithm for variational inference in exponential families
Eric P Xing, Michael I Jordan, and Stuart Russell · 2003
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A simple domain-independent probabilistic approach to generation
Gabor Angeli, Percy Liang, and Dan Klein · 2010
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Auto-encoding variational bayes
Diederik P. Kingma and Max Welling · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
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Bidirectional lstm-crf models for sequence tagging
Zhiheng Huang, Wei Xu, and Kai Yu · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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Generating sentences from a continuous space
Samuel Bowman, Luke Vilnis, Oriol Vinyals, Andrew M Dai, Rafal Jozefowicz, and Samy Bengio · 2016
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Infogan: Interpretable representation learning by information maximizing generative adversarial nets
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel · 2016
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Neural text generation from structured data with application to the biography domain
Rémi Lebret, David Grangier, and Michael Auli · 2016
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What to talk about and how? selective generation using lstms with coarse-to-fine alignment
Hongyuan Mei, Mohit Bansal, and Matthew R Walter · 2016
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Improving neural machine translation models with monolingual data
Rico Sennrich, Barry Haddow, and Alexandra Birch · 2016
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Learning to generate one-sentence biographies from wikidata
Andrew Chisholm, Will Radford, and Ben Hachey · 2017
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Controlling linguistic style aspects in neural language generation
Jessica Ficler and Yoav Goldberg · 2017
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Style transfer from non-parallel text by cross-alignment
Tianxiao Shen, Tao Lei, Regina Barzilay, and Tommi Jaakkola · 2017
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Challenges in data-to-document generation
Sam Wiseman, Stuart Shieber, and Alexander Rush · 2017
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Infovae: Information maximizing variational autoencoders
Shengjia Zhao, Jiaming Song, and Stefano Ermon · 2017
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Multi-space variational encoder-decoders for semi-supervised labeled sequence transduction
Disentangled representation learning for non-parallel text style transfer
Vineet John, Lili Mou, Hareesh Bahuleyan, and Olga Vechtomova · 2018
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Table-to-text generation by structure-aware seq2seq learning
Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, and Zhifang Sui · 2018
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Can neural generators for dialogue learn sentence planning and discourse structuring?
Lena Reed, Shereen Oraby, and Marilyn Walker · 2018
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Learning neural templates for text generation
Sam Wiseman, Stuart Shieber, and Alexander Rush · 2018
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Unsupervised discrete sentence representation learning for interpretable neural dialog generation
Tiancheng Zhao, Kyusong Lee, and Maxine Eskenazi · 2018
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Texygen: A benchmarking platform for text generation models
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Chunting Zhou and Graham Neubig · 2017
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Unsupervised neural machine translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre, and Kyunghyun Cho · 2018
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Table-to-text: Describing table region with natural language
Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Yuanhua Lv, Ming Zhou, and Tiejun Zhao · 2018
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Using monolingual data in neural machine translation: a systematic study
Franck Burlot and François Yvon · 2018
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Data2text studio: Automated text generation from structured data
Longxu Dou, Guanghui Qin, Jinpeng Wang, Jin-Ge Yao, and Chin-Yew Lin · 2018
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A mixed hierarchical attention based encoder-decoder approach for standard table summarization
Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Preksha Nema, Mitesh M Khapra, and Shreyas Shetty · 2018
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Toward controlled generation of text
Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, and Eric P Xing
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Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, and Yong Yu · 2018
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Generating sentences from disentangled syntactic and semantic spaces
Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xinyu Dai, and Jiajun Chen · 2019
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Table-to-text generation with effective hierarchical encoder on three dimensions (row, column and time)
Heng Gong, Xiaocheng Feng, Bing Qin, and Ting Liu · 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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Key fact as pivot: A two-stage model for low resource table-to-text generation
Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, and Xu Sun · 2019
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