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Word sense disambiguation: A survey
CSUR, 2009Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a computational manner. WSD is considered an AI-complete problem, that is, a task whose solution is at least as hard as the most difficult problems in ...
Roberto Navigli
semanticscholar +1 more source
Global WordNet Conference, 2019
In this article, we tackle the issue of the limited quantity of manually sense annotated corpora for the task of word sense disambiguation, by exploiting the semantic relationships between senses such as synonymy, hypernymy and hyponymy, in order to ...
Loïc Vial, B. Lecouteux, D. Schwab
semanticscholar +1 more source
In this article, we tackle the issue of the limited quantity of manually sense annotated corpora for the task of word sense disambiguation, by exploiting the semantic relationships between senses such as synonymy, hypernymy and hyponymy, in order to ...
Loïc Vial, B. Lecouteux, D. Schwab
semanticscholar +1 more source
Unsupervised word embeddings capture latent knowledge from materials science literature
Nature, 2019Vahe Tshitoyan +2 more
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Enriching Word Vectors with Subword Information
Transactions of the Association for Computational Linguistics, 2017Tomas Mikolov
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Electronic word-of-mouth in hospitality and tourism management
Tourism Management, 2008Stephen W Litvin +2 more
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Networked Narratives: Understanding Word-of-Mouth Marketing in Online Communities
Journal of Marketing, 2010Robert V Kozinets, Kristine De Valck
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Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue
Journal of Marketing, 2006Yong Liu
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