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Knowledge of a disease includes information of various aspects of the disease, such as signs and symptoms, diagnosis and treatment.
Publicly available clinical bert embeddings
Emily Alsentzer, John R Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, and Matthew McDermott. 2019 · 1904
Earlier work this paper cites.
Ernie: Enhanced language representation with informative entities
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, and Qun Liu. 2019 · 1905
Earlier work this paper cites.
Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, and Jianfeng Gao. 2019 · 1906
Earlier work this paper cites.
Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, and Quoc V Le. 2019 · 1906
Earlier work this paper cites.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019b · 1907
Earlier work this paper cites.
Sensebert: Driving some sense into bert
Yoav Levine, Barak Lenz, Or Dagan, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, and Yoav Shoham. 2019 · 1908
Earlier work this paper cites.
K-bert: Enabling language representation with knowledge graph
Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, and Ping Wang. 2019a · 1909
Earlier work this paper cites.
Knowledge enhanced contextual word representations
Matthew E Peters, Mark Neumann, IV Logan, L Robert, Roy Schwartz, Vidur Joshi, Sameer Singh, and Noah A Smith. 2019 · 1909
Earlier work this paper cites.
Incorporating domain knowledge into medical nli using knowledge graphs
Soumya Sharma, Bishal Santra, Abhik Jana, TYSS Santosh, Niloy Ganguly, and Pawan Goyal. 2019 · 1909
Earlier work this paper cites.
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. 2019 · 1910
Earlier work this paper cites.
Pretrained encyclopedia: Weakly supervised knowledge-pretrained language model
Wenhan Xiong, Jingfei Du, William Yang Wang, and Veselin Stoyanov. 2019 · 1912
Earlier work this paper cites.
Medical subject headings (mesh)
Carolyn E Lipscomb. 2000 · 2000
Earlier work this paper cites.
A primer in bertology: What we know about how bert works
Anna Rogers, Olga Kovaleva, and Anna Rumshisky. 2020 · 2002
Earlier work this paper cites.
Pre-trained models for natural language processing: A survey
Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao, Ning Dai, and Xuanjing Huang. 2020 · 2003
Earlier work this paper cites.
The unified medical language system (umls): integrating biomedical terminology
Olivier Bodenreider. 2004 · 2004
Earlier work this paper cites.
𝐑 𝟑 \mathbf{{R}^{3}} : Reverse, retrieve, and rank for sarcasm generation with commonsense knowledge
Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, and Nanyun Peng. 2020 · 2004
Cited alongside, same era.
Nci thesaurus: using science-based terminology to integrate cancer research results
Sherri De Coronado, Margaret W Haber, Nicholas Sioutos, Mark S Tuttle, Lawrence W Wright, et al. 2004 · 2004
Cited alongside, same era.
Injecting numerical reasoning skills into language models
Mor Geva, Ankit Gupta, and Jonathan Berant. 2020 · 2004
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Incorporating external knowledge through pre-training for natural language to code generation
Frank F Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, and Graham Neubig. 2020 · 2004
Cited alongside, same era.
How does nlp benefit legal system: A summary of legal artificial intelligence
Assessing the state of the art in biomedical relation extraction: overview of the biocreative v chemical-disease relation (cdr) task
Chih-Hsuan Wei, Yifan Peng, Robert Leaman, Allan Peter Davis, Carolyn J Mattingly, Jiao Li, Thomas C Wiegers, and Zhiyong Lu. 2016 · 2016
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Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, et al. 2016 · 2016
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Overview of the medical question answering task at trec 2017 liveqa
Asma Ben Abacha, Eugene Agichtein, Yuval Pinter, and Dina Demner-Fushman. 2017 · 2017
Later among the works it cites.
The degree of disease knowledge in patients with gastroesophageal reflux disease: A multi-center prospective study in korea
In Du Jeong, Moo In Park, Sung Eun Kim, Beom Jin Kim, Sang Wook Kim, Jie-Hyun Kim, Hye Young Sung, Tae-Hoon Oh, Yeon Soo Kim, The Korean Society of Neurogastroenterology, et al. 2017 · 2017
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Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, and Maosong Sun. 2020 · 2004
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Contrastive self-supervised learning for commonsense reasoning
Tassilo Klein and Moin Nabi. 2020 · 2005
Cited alongside, same era.
Skep: Sentiment knowledge enhanced pre-training for sentiment analysis
Hao Tian, Can Gao, Xinyan Xiao, Hao Liu, Bolei He, Hua Wu, Haifeng Wang, and Feng Wu. 2020 · 2005
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Sentibert: A transferable transformer-based architecture for compositional sentiment semantics
Da Yin, Tao Meng, and Kai-Wei Chang. 2020 · 2005
Cited alongside, same era.
Snomed-ct: The advanced terminology and coding system for ehealth
Kevin Donnelly. 2006 · 2006
Cited alongside, same era.
Disease knowledge after an educational program in patients with gerd–a randomized controlled trial
Jorgen Urnes, Hermod Petersen, and Per G Farup. 2008 · 2008
Cited alongside, same era.
Digital disease detection-harnessing the web for public health surveillance
John S Brownstein, Clark C Freifeld, and Lawrence C Madoff. 2009 · 2009
Cited alongside, same era.
Understanding pubmed® user search behavior through log analysis
Rezarta Islamaj Dogan, G Craig Murray, Aurélie Névéol, and Zhiyong Lu. 2009 · 2009
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Construction of the literature graph in semantic scholar
Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, Iz Beltagy, Miles Crawford, Doug Downey, Jason Dunkelberger, Ahmed Elgohary, Sergey Feldman, Vu Ha, Rodney Kinney, Sebastian Kohlmeier, Kyle Lo, Tyler Murray, Hsu-Han Ooi, Matthew Peters, Joanna Power, Sam Skjonsberg, Lucy Wang, Chris Wilhelm, Zheng Yuan, Madeleine van Zuylen, and Oren Etzioni. 2018 · 2018
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Lessons from natural language inference in the clinical domain
Alexey Romanov and Chaitanya Shivade. 2018 · 2018
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A question-entailment approach to question answering
Asma Ben Abacha and Dina Demner-Fushman. 2019 · 2019
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Overview of the mediqa 2019 shared task on textual inference, question entailment and question answering
Asma Ben Abacha, Chaitanya Shivade, and Dina Demner-Fushman. 2019 · 2019
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Scibert: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan. 2019 · 2019
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Overview of the MEDIQA 2019 shared task on textual inference, question entailment and question answering
Asma Ben Abacha, Chaitanya Shivade, and Dina Demner-Fushman. 2019 · 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 · 2019
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Transfer learning in biomedical natural language processing: An evaluation of BERT and ELMo on ten benchmarking datasets
Yifan Peng, Shankai Yan, and Zhiyong Lu. 2019 · 2019
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Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2020 · 2020
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Biobert: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang. 2020 · 2020
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Definition of disease in englis
Oxford-English-Dictionary. 2020 · 2020
Closest in time.