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Recent neural approaches to data-to-text generation have mostly focused on improving content fidelity while lacking explicit control over writing styles (e.g., word choices, sentence structures).
Evaluating the state-of-the-art of end-to-end natural language generation: The E2E NLG Challenge
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Variational template machine for data-to-text generation
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Design of a knowledge-based report generator
Karen Kukich. 1983 · 1983
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Empirically designing and evaluating a new revision-based model for summary generation
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Generating texts with style
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A simple domain-independent probabilistic approach to generation
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A statistical NLG framework for aggregated planning and realization
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Adam: A method for stochastic optimization
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Effective approaches to attention-based neural machine translation
Minh-Thang Luong, Hieu Pham, and Christopher D Manning. 2015 · 2015
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Improving neural machine translation models with monolingual data
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2015 · 2015
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Incorporating copying mechanism in sequence-to-sequence learning
Jiatao Gu, Zhengdong Lu, Hang Li, and Victor OK Li. 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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Style transfer from non-parallel text by cross-alignment
Tianxiao Shen, Tao Lei, Regina Barzilay, and Tommi Jaakkola. 2017 · 2017
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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 · 2017
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Challenges in data-to-document generation
Sam Wiseman, Stuart M Shieber, and Alexander M Rush. 2017 · 2017
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Retrieve, rerank and rewrite: Soft template based neural summarization
Ziqiang Cao, Wenjie Li, Sujian Li, and Furu Wei. 2018 · 2018
Exemplar encoder-decoder for neural conversation generation
Gaurav Pandey, Danish Contractor, Vineet Kumar, and Sachindra Joshi. 2018 · 2018
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Retrieve and refine: Improved sequence generation models for dialogue
Jason Weston, Emily Dinan, and Alexander H Miller. 2018 · 2018
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Learning neural templates for text generation
Sam Wiseman, Stuart M Shieber, and Alexander M Rush. 2018 · 2018
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Unsupervised text style transfer using language models as discriminators
Zichao Yang, Zhiting Hu, Chris Dyer, Eric Xing, and Taylor Berg-Kirkpatrick. 2018 · 2018
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Controllable paraphrase generation with a syntactic exemplar
Mingda Chen, Qingming Tang, Sam Wiseman, and Kevin Gimpel. 2019 · 2019
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Learning to select, track, and generate for data-to-text
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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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Data2text studio: Automated text generation from structured data
Longxu Dou, Guanghui Qin, Jinpeng Wang, Jin-Ge Yao, and Chin-Yew Lin. 2018 · 2018
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End-to-end content and plan selection for data-to-text generation
Sebastian Gehrmann, Falcon Z Dai, Henry Elder, and Alexander M Rush. 2018 · 2018
Cited alongside, same era.
A retrieve-and-edit framework for predicting structured outputs
Tatsunori B Hashimoto, Kelvin Guu, Yonatan Oren, and Percy S Liang. 2018 · 2018
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Adversarial example generation with syntactically controlled paraphrase networks
Mohit Iyyer, John Wieting, Kevin Gimpel, and Luke Zettlemoyer. 2018 · 2018
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Sequence-to-sequence models for data-to-text natural language generation: Word- vs. character-based processing and output diversity
Glorianna Jagfeld, Sabrina Jenne, and Ngoc Thang Vu. 2018 · 2018
Cited alongside, same era.
Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, and Hiroya Takamura. 2019 · 2019
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Text generation with exemplar-based adaptive decoding
Hao Peng, Ankur P Parikh, Manaal Faruqui, Bhuwan Dhingra, and Dipanjan Das. 2019 · 2019
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Improving multi-turn dialogue modelling with utterance ReWriter
Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, and Jie Zhou. 2019 · 2019
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Multiple-attribute text rewriting
Sandeep Subramanian, Guillaume Lample, Eric Michael Smith, Ludovic Denoyer, Marc’Aurelio Ranzato, and Y-Lan Boureau. 2019 · 2019
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Target-guided open-domain conversation
Jianheng Tang, Tiancheng Zhao, Chengyan Xiong, Xiaodan Liang, Eric P Xing, and Zhiting Hu. 2019 · 2019
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Learning from all types of experiences: A unifying machine learning perspective
Zhiting Hu and Eric P Xing. 2020 · 2020
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Summarizing text on any aspects: A knowledge-informed weakly-supervised approach
Bowen Tan, Lianhui Qin, Eric P Xing, and Zhiting Hu. 2020 · 2020
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Data-to-text generation with entity modeling
Ratish Puduppully, Li Dong, and Mirella Lapata. 2019 · 2035
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