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Medical Dialogue Generation serves a critical role in telemedicine by facilitating the dissemination of medical expertise to patients.
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Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu, · 2002
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Chin-Yew Lin, · 2004
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Yue Shang, Yanpeng Li, Hongfei Lin, and Zhihao Yang, · 2011
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Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan, · 2015
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“Analysing the causes of depressed mood from depression vulnerable individuals,”
Noor Fazilla Abd Yusof, Chenghua Lin, and Frank Guerin, · 2017
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“Attention is all you need,”
Ashish Vaswani, Noam M. Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin, · 2017
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“Neural amr: Sequence-to-sequence models for parsing and generation,”
Ioannis Konstas, Srini Iyer, Mark Yatskar, Yejin Choi, and Luke Zettlemoyer, · 2017
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“Modeling graph structure in transformer for better amr-to-text generation,”
Jiehan Zhu, Junhui Li, Muhua Zhu, Longhua Qian, Min Zhang, and Guodong Zhou, · 2019
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Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer, · 2019
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“Language models are unsupervised multitask learners,”
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al., · 2019
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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, · 2019
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“AMR parsing via graph-sequence iterative inference,”
Deng Cai and Wai Lam, · 2020
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“MedDialog: Large-scale medical dialogue datasets,”
Guangtao Zeng, Wenmian Yang, Zeqian Ju, Yue Yang, Sicheng Wang, Ruisi Zhang, Meng Zhou, Jiaqi Zeng, Xiangyu Dong, Ruoyu Zhang, Hongchao Fang, Penghui Zhu, Shu Chen, and Pengtao Xie, · 2020
“Semantic representation for dialogue modeling,”
Xuefeng Bai, Yulong Chen, Linfeng Song, and Yue Zhang, · 2021
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“On the generation of medical dialogs for COVID-19,”
Meng Zhou, Zechen Li, Bowen Tan, Guangtao Zeng, Wenmian Yang, Xuehai He, Zeqian Ju, Subrato Chakravorty, Shu Chen, Xingyi Yang, Yichen Zhang, Qingyang Wu, Zhou Yu, Kun Xu, Eric Xing, and Pengtao Xie, · 2021
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“Fast and scalable dialogue state tracking with explicit modular decomposition,”
Dingmin Wang, Chenghua Lin, Qi Liu, and Kam-Fai Wong, · 2021
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“Graph-based abstractive biomedical text summarization,”
Azadeh Givchi, Reza Ramezani, and Ahmad Baraani-Dastjerdi, · 2022
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“EtriCA: Event-triggered context-aware story generation augmented by cross attention,”
Chen Tang, Chenghua Lin, Henglin Huang, Frank Guerin, and Zhihao Zhang, · 2022
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“Terminology-aware medical dialogue generation,”
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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, Peter J Liu, et al., · 2020
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“Named entity aware transfer learning for biomedical factoid question answering,”
Keqin Peng, Chuantao Yin, Wenge Rong, Chenghua Lin, Deyu Zhou, and Zhang Xiong, · 2021
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Chen Tang, Hongbo Zhang, Tyler Loakman, Chenghua Lin, and Frank Guerin, · 2023
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“Enhancing dialogue generation via dynamic graph knowledge aggregation,”
Chen Tang, Hongbo Zhang, Tyler Loakman, Chenghua Lin, and Frank Guerin, · 2023
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