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Contextualized sensorimotor norms: Multi-dimensional measures of sensorimotor strength for ambiguous English words, in context. [PDF]
Trott S, Bergen B.
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Resolving ambiguity in natural language for enhancement of aspect-based sentiment analysis of hotel reviews. [PDF]
Nadeem A +7 more
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Disambiguating Clinical Abbreviations by One-to-All Classification: Algorithm Development and Validation Study. [PDF]
Sung SF, Hu YH, Chen CY.
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Syntactic analysis of SMOSS model combined with improved LSTM model: Taking English writing teaching as an example. [PDF]
Yan K.
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Apical integration theory provides a neural basis for understanding disorganization and consciousness in the schizophrenias. [PDF]
Silverstein SM +3 more
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Trends in word sense disambiguation
Artificial Intelligence Review, 2012The problem and process of identifying the meaning of a word as per its usage context is called word sense disambiguation (WSD). Although research in this field has been ongoing for the past forty years, a distinct change of techniques adopted can be observed over time.
S Abirami
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Word sense disambiguation (WSD) is the process of identifying the meanings of words in context. The difficulty of this problem stems from the subtlety of word sense differences and the need for some level of understanding. This chapter describes the main approaches to the problem, methods for evaluating performance, and potential applications.
Eneko Agirre, Mark Stevenson
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