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Text generation has become one of the most important yet challenging tasks in natural language processing (NLP).
Guide for conducting risk assessments
Rebecca M Blank · 2011
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2015
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Convolutional sequence to sequence learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N. Dauphin · 2017
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Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Improving abstraction in text summarization
Wojciech Kryscinski, Romain Paulus, Caiming Xiong, and Richard Socher · 2018
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Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer · 2018
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Unsupervised cross-lingual word embedding by multilingual neural language models
Takashi Wada and Tomoharu Iwata · 2018
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Cross-lingual language model pretraining
Alexis Conneau and Guillaume Lample · 2019
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BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Unified language model pre-training for natural language understanding and generation
Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, and Hsiao-Wuen Hon · 2019
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Unsupervised pre-training for sequence to sequence speech recognition
Zhiyun Fan, Shiyu Zhou, and Bo Xu · 2019
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CTRL: A conditional transformer language model for controllable generation
Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, and Richard Socher · 2019
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Generating long and informative reviews with aspect-aware coarse-to-fine decoding
Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, and Yang Song · 2019
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Text summarization with pretrained encoders
Yang Liu and Mirella Lapata · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever · 2019
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Distilbert, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf · 2019
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MASS: masked sequence to sequence pre-training for language generation
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, and Tie-Yan Liu · 2019
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Contrastive bidirectional transformer for temporal representation learning
Chen Sun, Fabien Baradel, Kevin Murphy, and Cordelia Schmid · 2019
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Videobert: A joint model for video and language representation learning
Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, and Cordelia Schmid · 2019
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Transfertransfo: A transfer learning approach for neural network based conversational agents
Thomas Wolf, Victor Sanh, Julien Chaumond, and Clement Delangue · 2019
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Pretraining-based natural language generation for text summarization
Haoyu Zhang, Jingjing Cai, Jianjun Xu, and Ji Wang · 2019
Cited alongside, same era.
HIBERT: document level pre-training of hierarchical bidirectional transformers for document summarization
Xingxing Zhang, Furu Wei, and Ming Zhou · 2019
Cited alongside, same era.
ERNIE: enhanced language representation with informative entities
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, and Qun Liu · 2019
Cited alongside, same era.
Gpt-too: A language-model-first approach for amr-to-text generation
Manuel Mager, Ramón Fernandez Astudillo, Tahira Naseem, Md. Arafat Sultan, Young-Suk Lee, Radu Florian, and Salim Roukos · 2020
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Pre-trained models for natural language processing: A survey
Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao, Ning Dai, and Xuanjing Huang · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu · 2020
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Investigating pretrained language models for graph-to-text generation
Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, and Iryna Gurevych · 2020
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Leveraging pre-trained checkpoints for sequence generation tasks
Sascha Rothe, Shashi Narayan, and Aliaksei Severyn · 2020
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Sentence centrality revisited for unsupervised summarization
Hao Zheng and Mirella Lapata · 2019
Cited alongside, same era.
PLATO-2: towards building an open-domain chatbot via curriculum learning
Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Zhen Guo, Zhibin Liu, and Xinchao Xu · 2020
Cited alongside, same era.
Language models are few-shot learners
Tom B. Brown, Benjamin Mann, and Nick Ryder et al · 2020
Cited alongside, same era.
Distilling knowledge learned in BERT for text generation
Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, and Jingjing Liu · 2020
Cited alongside, same era.
Few-shot NLG with pre-trained language model
Zhiyu Chen, Harini Eavani, Wenhu Chen, Yinyin Liu, and William Yang Wang · 2020
Cited alongside, same era.
Tablegpt: Few-shot table-to-text generation with table structure reconstruction and content matching
Heng Gong, Yawei Sun, Xiaocheng Feng, Bing Qin, Wei Bi, Xiaojiang Liu, and Ting Liu · 2020
Cited alongside, same era.
A tailored pre-training model for task-oriented dialog generation
Jing Gu, Qingyang Wu, Chongruo Wu, Weiyan Shi, and Zhou Yu · 2020
Cited alongside, same era.
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XGPT: cross-modal generative pre-training for image captioning
Qiaolin Xia, Haoyang Huang, Nan Duan, Dongdong Zhang, Lei Ji, Zhifang Sui, Edward Cui, Taroon Bharti, Xin Liu, and Ming Zhou · 2020
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Discourse-aware neural extractive text summarization
Jiacheng Xu, Zhe Gan, Yu Cheng, and Jingjing Liu · 2020
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Unsupervised extractive summarization by pre-training hierarchical transformers
Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, and Ming Zhou · 2020
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CSP: code-switching pre-training for neural machine translation
Zhen Yang, Bojie Hu, Ambyera Han, Shen Huang, and Qi Ju · 2020
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TED: A pretrained unsupervised summarization model with theme modeling and denoising
Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, and Eric Darve · 2020
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A short survey of pre-trained language models for conversational AI-A new age in NLP
Munazza Zaib, Quan Z. Sheng, and Wei Emma Zhang · 2020
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Generalized conditioned dialogue generation based on pre-trained language model
Yan Zeng and Jian-Yun Nie · 2020
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DIALOGPT : Large-scale generative pre-training for conversational response generation
Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, and Bill Dolan · 2020
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Knowledge-grounded dialogue generation with pre-trained language models
Xueliang Zhao, Wei Wu, Can Xu, Chongyang Tao, Dongyan Zhao, and Rui Yan · 2020
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Unified vision-language pre-training for image captioning and VQA
Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, and Jianfeng Gao · 2020
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Textbox: A unified, modularized, and extensible framework for text generation
Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, and Ji-Rong Wen · 2021
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Few-shot knowledge graph-to-text generation with pretrained language models
Junyi Li, Tianyi Tang, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, and Ji-Rong Wen · 2021
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Knowledge-based review generation by coherence enhanced text planning
Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, and Ji-Rong Wen · 2021
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