Using triangulation to identify word senses
Word sense disambiguation is the task of determining which sense of a word is intended from its context. Previous methods have found the lack of training data and the restrictiveness of dictionaries' choices of senses to be major stumbling blocks.
Mitchell, Richard +2 more
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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.
europepmc +1 more source
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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Entity Linking meets Word Sense Disambiguation: a Unified Approach
Transactions of the Association for Computational Linguistics, 2021 Andrea Moro +2 more
doaj +1 more source
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.
europepmc +1 more source
Word sense disambiguation in the clinical domain: a comparison of knowledge-rich and knowledge-poor unsupervised methods. [PDF]
J Am Med Inform Assoc, 2014 Chasin R +3 more
europepmc +1 more source
Collocation analysis for UMLS knowledge-based word sense disambiguation. [PDF]
BMC Bioinformatics, 2011 Jimeno-Yepes A, McInnes BT, Aronson AR.
europepmc +1 more source
Exploiting domain information for Word Sense Disambiguation of medical documents. [PDF]
J Am Med Inform Assoc, 2012 Stevenson M +3 more
europepmc +1 more source
The Noisy Channel Model for Unsupervised Word Sense Disambiguation
Computational Linguistics, 2021 Deniz Yuret, Mehmet Ali Yatbaz
doaj +1 more source