文章基本信息

标题：Modified Random Walk Algorithm to Improve the Efficiency of Word Sense Disambiguation (WSD)
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作者：Rashmi S ; Hanumanthappa M
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2016
卷号：5
期号：3
页码：15924-15928
DOI：10.18535/ijecs/v5i3.09
出版社：IJECS
摘要：Natural language processing (NLP) is a field in computer science, artificial intelligence and the linguistics which mainlyconcentrates on the interactions between human languages (natural language) and the computer. One of the main challenges in NLP isambiguity. Every language is ambiguous in nature, in the way that one word has multiple meaning and multiple words have same meaning.The ambiguities are generally categorized into two groups: lexical and structural ambiguities. Lexical ambiguity arises where there are twoor more possible meaning for a single word. Structural ambiguities appear when a given sentence is interpreted in more than one way dueto ambiguous sentence structure. Word Sense Disambiguation (WSD) is defined as the task of finding the correct sense of a word in aspecific context. This paper presents our preliminary work towards building WSD system by constructing a corpus. We include a detailedanalysis of the factor that affects the WSD algorithm and propose a modified algorithm based on random walk algorithm and compare theworking of each of these algorithms
关键词：NLP; Lexical ambiguity; Structural ambiguity; WSD; Word Net