Research Article Open Access

An Approach for Finding Semantic Relatedness Score Between Two Sentences Based on their Senses

Nazreena Rahman1 and Bhogeswar Borah2
  • 1 Kaziranga University, India
  • 2 Tezpur University, India

Abstract

Finding semantic relatedness score between two sentences is useful in many research areas. Existing relatedness methods do not consider its sense while computing semantic relatedness score between two sentences. In this study, a Word Sense Disambiguation (WSD) method is proposed which is used in finding the sense-oriented sentence semantic relatedness measure. The WSD method is used to find the correct sense of a word present in a sentence. The proposed method uses both the WordNet lexical dictionary and the Wikipedia corpus. The sense-oriented sentence semantic relatedness measure combines edge-based score between words depending the context of the sentence; sense based score which finds sentences having similar senses; as well as word order score. We have evaluated the proposed WSD method on publicly available English WSD corpora. We have compared our proposed sense-oriented sentence semantic relatedness measure on standard datasets. Experimental analysis illustrates the significance of proposed method over many baseline and current systems like Lesk, UKB, IMS, Babelfy.

Journal of Computer Science
Volume 17 No. 6, 2021, 556-579

DOI: https://doi.org/10.3844/jcssp.2021.556.579

Submitted On: 24 November 2020 Published On: 9 June 2021

How to Cite: Rahman, N. & Borah, B. (2021). An Approach for Finding Semantic Relatedness Score Between Two Sentences Based on their Senses. Journal of Computer Science, 17(6), 556-579. https://doi.org/10.3844/jcssp.2021.556.579

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Keywords

  • Word Sense Disambiguation (WSD)
  • Sense-Oriented Sentence Semantic Relatedness Measure
  • Semantic Relatedness Score
  • Edge-Based Feature
  • Sense Based Feature
  • Word Order Information