Abstract
Word Sense Disambiguation (WSD) and Word Sense Induction (WSI) are two fundamental tasks in Natural Language Processing (NLP), i.e., those of, respectively, automatically assigning meaning to words in context from a predefined sense inventory and discovering senses from text for a given input word. The two tasks have generally been hard to perform with high accuracy. However, today innovations in approach to WSD and WSI are promising to open up many interesting new horizons in NLP and Information Retrieval applications. This paper is a quick tour on how to start doing research in this exciting field and suggests the hottest topics to focus on. © 2012 Springer-Verlag.
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Navigli, R. (2012). A quick tour of word sense disambiguation, induction and related approaches. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7147 LNCS, pp. 115–129). https://doi.org/10.1007/978-3-642-27660-6_10
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