Random Walks for Knowledge-Based Word Sense Disambiguation
Computational Linguistics, 2021 Eneko Agirre +2 more
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deepBioWSD: effective deep neural word sense disambiguation of biomedical text data. [PDF]
J Am Med Inform Assoc, 2019 Pesaranghader A +3 more
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Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks. [PDF]
BMC Bioinformatics, 2019 Zhang C, Biś D, Liu X, He Z.
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Interactive medical word sense disambiguation through informed learning. [PDF]
J Am Med Inform Assoc, 2018 Wang Y, Zheng K, Xu H, Mei Q.
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Similarity-based Word Sense Disambiguation.
Comput. Linguistics, 1996 We describe a method for automatic word sense disambiguation using a text corpus and a machine-readable dictionary (MRD). The method is based on word similarity and context similarity measures. Words are considered similar if they appear in similar contexts; contexts are similar if they contain similar words.
Karov, Yael, Edelman, Shimon
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Knowledge-Based Biomedical Word Sense Disambiguation with Neural Concept Embeddings [PDF]
Proc IEEE Int Symp Bioinformatics Bioeng, 2017 Sabbir A, Jimeno-Yepes A, Kavuluru R.
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The effect of word sense disambiguation accuracy on literature based discovery. [PDF]
BMC Med Inform Decis Mak, 2016 Preiss J, Stevenson M.
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Word Sense Disambiguation with Wikipedia Entities: A Survey of Entity Linking Approaches. [PDF]
Entropy (Basel)Simos MA, Makris C.
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Challenges and practical approaches with word sense disambiguation of acronyms and abbreviations in the clinical domain. [PDF]
Healthc Inform Res, 2015 Moon S, McInnes B, Melton GB.
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Applying active learning to supervised word sense disambiguation in MEDLINE. [PDF]
J Am Med Inform Assoc, 2013 Chen Y, Cao H, Mei Q, Zheng K, Xu H.
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