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Computational Approaches to Measuring the Similarity of Short Contexts : A Review of Applications and Methods

. CoRR, (2008)

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Fishing for Exactness. CoRR, (1996)Approaching terminological ambiguity in cross-disciplinary communication as a word sense induction task: a pilot study., , and . Lang. Resour. Evaluation, 53 (4): 889-917 (2019)Evaluating semantic similarity and relatedness over the semantic grouping of clinical term pairs., and . J. Biomed. Informatics, (2015)Evaluating measures of semantic similarity and relatedness to disambiguate terms in biomedical text., and . J. Biomed. Informatics, 46 (6): 1116-1124 (2013)UMDSub at SemEval-2018 Task 2: Multilingual Emoji Prediction Multi-channel Convolutional Neural Network on Subword Embedding., and . SemEval@NAACL-HLT, page 395-399. Association for Computational Linguistics, (2018)Duluth: Word Sense Discrimination in the Service of Lexicography.. SemEval@NAACL-HLT, page 438-442. The Association for Computer Linguistics, (2015)The Senseval-3 Multilingual English-­Hindi lexical sample task., , , and . SENSEVAL@ACL, Association for Computational Linguistics, (2004)Machine Learning with Lexical Features: The Duluth Approach to SENSEVAL-2.. SENSEVAL@ACL, page 139-142. Association for Computational Linguistics, (2001)UMND1: Unsupervised Word Sense Disambiguation Using Contextual Semantic Relatedness., , and . SemEval@ACL, page 390-393. The Association for Computer Linguistics, (2007)WordNet: : SenseRelate: : AllWords - A Broad Coverage Word Sense Tagger that Maximizes Semantic Relatedness., and . HLT-NAACL (Demos), page 17-20. The Association for Computational Linguistics, (2009)978-1-932432-42-8.