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Entity linking faces significant challenges such as prolific variations and prevalent ambiguities, especially in high-value domains with myriad entities.
Medmentions: a large biomedical corpus annotated with umls concepts
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Snomed rt: a reference terminology for health care
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The unified medical language system (umls): integrating biomedical terminology
Olivier Bodenreider. 2004 · 2004
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A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms
Dietrich Wettschereck, David W. Aha, and Takao Mohri. 2004 · 2004
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Rxnorm: prescription for electronic drug information exchange
Simon Liu, Wei Ma, Robin Moore, Vikraman Ganesan, and Stuart Nelson. 2005 · 2005
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Contrastive estimation: Training log-linear models on unlabeled data
Noah A. Smith and Jason Eisner. 2005 · 2005
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Using encyclopedic knowledge for named entity disambiguation
Razvan Bunescu and Marius Paşca. 2006 · 2006
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Dimensionality reduction by learning an invariant mapping
Raia Hadsell, Sumit Chopra, and Yann LeCun. 2006 · 2006
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Large-scale named entity disambiguation based on Wikipedia data
Silviu Cucerzan. 2007 · 2007
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The unreasonable effectiveness of data
Alon Halevy, Peter Norvig, and Fernando Pereira. 2009 · 2009
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Unsupervised morphological segmentation with log-linear models
Hoifung Poon, Colin Cherry, and Kristina Toutanova. 2009 · 2009
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Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
Michael Gutmann and Aapo Hyvärinen. 2010 · 2010
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2010 i2b2/va challenge on concepts, assertions, and relations in clinical text
Özlem Uzuner, Brett R South, Shuying Shen, and Scott L DuVall. 2011 · 2010
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Local and global algorithms for disambiguation to Wikipedia
Lev Ratinov, Dan Roth, Doug Downey, and Mike Anderson. 2011 · 2011
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Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
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Relational inference for wikification
Xiao Cheng and Dan Roth. 2013 · 2013
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Learning entity representation for entity disambiguation
Zhengyan He, Shujie Liu, Mu Li, Ming Zhou, Longkai Zhang, and Houfeng Wang. 2013 · 2013
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Learning deep structured semantic models for web search using clickthrough data
Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Acero, and Larry Heck. 2013 · 2013
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Ncbi disease corpus: a resource for disease name recognition and concept normalization
Rezarta Islamaj Doğan, Robert Leaman, and Zhiyong Lu. 2014 · 2014
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Modeling interestingness with deep neural networks
Jianfeng Gao, Patrick Pantel, Michael Gamon, Xiaodong He, and Li Deng. 2014 · 2014
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SemEval-2014 task 7: Analysis of clinical text
Sameer Pradhan, Noémie Elhadad, Wendy Chapman, Suresh Manandhar, and Guergana Savova. 2014 · 2014
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Wikification and beyond: The challenges of entity and concept grounding
Dan Roth, Heng Ji, Ming-Wei Chang, and Taylor Cassidy. 2014 · 2014
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A latent semantic model with convolutional-pooling structure for information retrieval
Learning dense representations for entity retrieval
Daniel Gillick, Sayali Kulkarni, Larry Lansing, Alessandro Presta, Jason Baldridge, Eugene Ie, and Diego Garcia-Olano. 2019 · 2019
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Billion-scale similarity search with GPUs
Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2019 · 2019
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Zero-shot entity linking by reading entity descriptions
Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, and Honglak Lee. 2019 · 2019
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The 2019 n2c2/UMass Lowell shared task on clinical concept normalization
Yen-Fu Luo, Sam Henry, Yanshan Wang, Feichen Shen, Ozlem Uzuner, and Anna Rumshisky. 2020 · 2019
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ScispaCy: Fast and robust models for biomedical natural language processing
Mark Neumann, Daniel King, Iz Beltagy, and Waleed Ammar. 2019 · 2019
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Unsupervised biomedical named entity recognition: Experiments with clinical and biological texts
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Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, and Grégoire Mesnil. 2014 · 2014
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Embedding entities and relations for learning and inference in knowledge bases
Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2015 · 2015
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Named entity recognition in Swedish health records with character-based deep bidirectional LSTMs
Simon Almgren, Sean Pavlov, and Olof Mogren. 2016 · 2016
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BioCreative V CDR task corpus: a resource for chemical disease relation extraction
Jiao Li, Yueping Sun, Robin J. Johnson, Daniela Sciaky, Chih-Hsuan Wei, Robert Leaman, Allan Peter Davis, Carolyn J. Mattingly, Thomas C. Wiegers, and Zhiyong Lu. 2016 · 2016
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Quickumls: a fast, unsupervised approach for medical concept extraction
Luca Soldaini and Nazli Goharian. 2016 · 2016
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Deep joint entity disambiguation with local neural attention
Octavian-Eugen Ganea and Thomas Hofmann. 2017 · 2017
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Entity linking via joint encoding of types, descriptions, and context
Nitish Gupta, Sameer Singh, and Dan Roth. 2017 · 2017
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Shaodian Zhang and Noémie Elhadad. 2013 · 2019
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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020 · 2020
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Bert-based ranking for biomedical entity normalization
Zongcheng Ji, Qiang Wei, and Hua Xu. 2020 · 2020
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Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020 · 2020
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Medlinker: Medical entity linking with neural representations and dictionary matching
Daniel Loureiro and Alípio Mário Jorge. 2020 · 2020
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Biomedical entity representations with synonym marginalization
Mujeen Sung, Hwisang Jeon, Jinhyuk Lee, and Jaewoo Kang. 2020 · 2020
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Scalable zero-shot entity linking with dense entity retrieval
Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, and Luke Zettlemoyer. 2020 · 2020
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Unified medical language system resources improve sieve-based generation and bidirectional encoder representations from transformers (bert)–based ranking for concept normalization
Dongfang Xu, Manoj Gopale, Jiacheng Zhang, Kris Brown, Edmon Begoli, and Steven Bethard. 2020 · 2020
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Clustering-based inference for biomedical entity linking
Rico Angell, Nicholas Monath, Sunil Mohan, Nishant Yadav, and Andrew McCallum. 2021 · 2021
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Domain-specific language model pretraining for biomedical natural language processing
Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, and Hoifung Poon. 2021 · 2021
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BERT might be overkill: A tiny but effective biomedical entity linker based on residual convolutional neural networks
Tuan Lai, Heng Ji, and ChengXiang Zhai. 2021 · 2021
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Self-alignment pretraining for biomedical entity representations
Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, and Nigel Collier. 2021 · 2021
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