Word sense disambiguation based on context selection using knowledge-based word similarity

In this paper, we introduce a novel knowledge-based word-sense disambiguation (WSD) system. In particular, the main goal of our research is to find an effective way to filter out unnecessary information by using word similarity. For this, we adopt two methods in our WSD system. First, we propose a n...

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Veröffentlicht in:	Information processing & management 2021-07, Vol.58 (4), p.102551, Article 102551
Hauptverfasser:	Kwon, Sunjae, Oh, Dongsuk, Ko, Youngjoong
Format:	Artikel
Sprache:	eng
Schlagworte:	Graphical representations Information management Knowledge Knowledge based systems Knowledge bases (artificial intelligence) Knowledge-based word vector representation Lexical semantics Natural language processing Novels Semantic processing Semantics Similarity Similarity measures Similarity-based word selection Word sense disambiguation
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