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The quest for seeking health information has swamped the web with consumers' health-related questions.
The unified medical language system (umls): integrating biomedical terminology
Olivier Bodenreider · 2004
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ROUGE: A Package for Automatic Evaluation of Summaries
Chin-Yew Lin · 2004
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An overview of metamap: historical perspective and recent advances
Alan R Aronson and François-Michel Lang · 2010
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An overview of the bioasq large-scale biomedical semantic indexing and question answering competition
George Tsatsaronis, Georgios Balikas, Prodromos Malakasiotis, Ioannis Partalas, Matthias Zschunke, Michael R Alvers, Dirk Weissenborn, Anastasia Krithara, Sergios Petridis, Dimitris Polychronopoulos, et al · 2015
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Aligning books and movies: Towards story-like visual explanations by watching movies and reading books
Yukun Zhu, Ryan Kiros, Rich Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, and Sanja Fidler · 2015
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Abstractive text summarization using sequence-to-sequence RNNs and beyond
Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Caglar Gulcehree, and Bing Xiang · 2016
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Generating sentences from a continuous space
Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew Dai, Rafal Jozefowicz, and Samy Bengio · 2016
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Metamap lite: an evaluation of a new java implementation of metamap
Dina Demner-Fushman, Willie J Rogers, and Alan R Aronson · 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
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A discourse-aware attention model for abstractive summarization of long documents
Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, and Nazli Goharian · 2018
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Semantic annotation of consumer health questions
Halil Kilicoglu, Asma Ben Abacha, Yassine Mrabet, Sonya E Shooshan, Laritza Rodriguez, Kate Masterton, and Dina Demner-Fushman · 2018
Cited alongside, same era.
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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Multi-news: A large-scale multi-document summarization dataset and abstractive hierarchical model
Alexander Richard Fabbri, Irene Li, Tianwei She, Suyi Li, and Dragomir Radev · 2019
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On the summarization of consumer health questions
Asma Ben Abacha and Dina Demner-Fushman · 2019
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Cited alongside, same era.
ProphetNet: Predicting future n-gram for sequence-to-SequencePre-training
Weizhen Qi, Yu Yan, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang, and Ming Zhou · 2020
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Pegasus: Pre-training with extracted gap-sentences for abstractive summarization
Jingqing Zhang, Yao Zhao, Mohammad Saleh, and Peter Liu · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush · 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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Nlm at mediqa 2021: Transfer learning-based approaches for consumer question and multi-answer summarization
Shweta Yadav, Mourad Sarrouti, and Deepak Gupta · 2021
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Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer · 2019
Cited alongside, same era.
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi · 2019
Cited alongside, same era.
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
Cited alongside, same era.
Question-driven summarization of answers to consumer health questions
Max Savery, Asma Ben Abacha, Soumya Gayen, and Dina Demner-Fushman · 2020
Cited alongside, same era.
Main report: The search for online medical help
Susannah Fox and Lee Rainie
Cited in the paper.
Later among the works it cites.
Reinforcement learning for abstractive question summarization with question-aware semantic rewards
Shweta Yadav, Deepak Gupta, Asma Ben Abacha, and Dina Demner-Fushman · 2021
Later among the works it cites.
Nlm at bioasq synergy 2021: Deep learning-based methods for biomedical semantic question answering about covid-19
Mourad Sarrouti, Deepak Gupta, Asma Ben Abacha, and Dina Demner-Fushman · 2021
Later among the works it cites.
Biomedical and clinical english model packages for the stanza python nlp library
Yuhao Zhang, Yuhui Zhang, Peng Qi, Christopher D Manning, and Curtis P Langlotz · 2021
Later among the works it cites.
Question-aware transformer models for consumer health question summarization
Shweta Yadav, Deepak Gupta, Asma Ben Abacha, and Dina Demner-Fushman · 2022
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