Word Sense Disambiguation by Machine Learning Approach: A Short Survey

Issue title: Contagious Creativity – In Honor of the 80th Birthday of Professor Solomon Marcus

Article type: Research Article

Authors: Tatar, Doina

Affiliations: Faculty of Mathematics and Computer Science, University Babeş-Bolyai, Str. Kogalniceanu nr.1, Cluj-Napoca, Romania. [email protected]

Note: [] Address for correspondence: Faculty of Mathematics and Computer Science, University Babeş-Bolyai, Str. Kogalniceanu nr.1, Cluj-Napoca, Romania

Abstract: There is a renewed interest in word sense disambiguation (WSD) as it contributes to various applications in natural language processing. In this paper we survey vector-based methods for WSD in machine learning. All the methods are corpus-based and use definition of context in the sense introduced by S. Marcus [11].

Keywords: Word sense disambiguation, machine learning, context

Journal: Fundamenta Informaticae, vol. 64, no. 1-4, pp. 433-442, 2005