An Analysis of Word Sense Disambiguation (WSD)

Title

An Analysis of Word Sense Disambiguation (WSD)

Creator

Nanjundan P.; Mathews E.Z.

Description

Word sense disambiguation (WSD) is the method of using computer algorithms to determine the sense of arguments in the background. As a result of its difficult nature, WSD has measured an AI-complete problem, i.e., a problem whose key is as minimum as difficult as those posed by artificial intelligence. This article describes the task and introduces motives to resolve the ambiguity of words discussed throughout the text. This article summarizes supervised, unsupervised, and knowledge-based solutions. Senseval/semeval campaigns are described in relation to the assessment of WSDs, with the aim of an unbiased assessment of schemes working on numerous disambiguation errands. Finally, future directions, requests, open difficulties, and open problems are discoursed. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Source

Lecture Notes in Electrical Engineering, Vol-990 LNEE, pp. 251-259.

Date

2023-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Lexical ambiguity; Lexical semantics; Semantic annotation; Sense annotation; Word sense disambiguation; Word sense discrimination; WSD

Coverage

Nanjundan P., Department of Data Science, Christ University, Lavasa, Pune, India; Mathews E.Z., Department of Data Science, Christ University, Lavasa, Pune, India

Rights

Restricted Access

Relation

ISSN: 18761100; ISBN: 978-981199089-2

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-19-9090-8_22

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