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We study the pre-train + fine-tune strategy for data-to-text tasks.
Few-shot nlg with pre-trained language model
Zhiyu Chen, Harini Eavani, Yinyin Liu, and William Yang Wang. 2019b · 1904
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Leveraging pre-trained checkpoints for sequence generation tasks
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Exploring the limits of transfer learning with a unified text-to-text transformer
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Using natural-language processing to produce weather forecasts
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Building natural language generation systems
Ehud Reiter and Robert Dale. 2000 · 2000
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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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Few-shot natural language generation for task-oriented dialog
Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, and Jianfeng Gao. 2020 · 2002
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Totto: A controlled table-to-text generation dataset
Ankur P Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, and Dipanjan Das. 2020 · 2004
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Meteor: An automatic metric for mt evaluation with high levels of correlation with human judgments
Alon Lavie and Abhaya Agarwal. 2007 · 2007
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Semantically conditioned lstm-based natural language generation for spoken dialogue systems
Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Pei-Hao Su, David Vandyke, and Steve Young. 2015 · 2015
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The webnlg challenge: Generating text from rdf data
Claire Gardent, Anastasia Shimorina, Shashi Narayan, and Laura Perez-Beltrachini. 2017 · 2017
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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 · 2018
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Deep graph convolutional encoders for structured data to text generation
Diego Marcheggiani and Laura Perez-Beltrachini. 2018 · 2018
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Handling divergent reference texts when evaluating table-to-text generation
Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, Ming-Wei Chang, Dipanjan Das, and William Cohen. 2019 · 2019
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Neural data-to-text generation: A comparison between pipeline and end-to-end architectures
Thiago Castro Ferreira, Chris van der Lee, Emiel van Miltenburg, and Emiel Krahmer. 2019 · 2019
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Step-by-step: Separating planning from realization in neural data-to-text generation
Amit Moryossef, Yoav Goldberg, and Ido Dagan. 2019 · 2019
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Multiwoz-a large-scale multi-domain wizard-of-oz dataset for task-oriented dialogue modelling
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Bert: Pre-training of deep bidirectional transformers for language understanding
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Semantically conditioned dialog response generation via hierarchical disentangled self-attention
Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, and William Yang Wang. 2019a
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Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017a
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Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J Liu, and Christopher D Manning. 2017b
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Sumtime-mousam: Configurable marine weather forecast generator
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Language models are unsupervised multitask learners
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Bridging the structural gap between encoding and decoding for data-to-text generation
Chao Zhao, Marilyn Walker, and Snigdha Chaturvedi. 2020 · 2020
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