An Approach for Finding Semantic Relatedness Score Between Two Sentences Based on their Senses
- 1 Kaziranga University, India
- 2 Tezpur University, India
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.
Copyright: © 2021 Nazreena Rahman and Bhogeswar Borah. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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- Word Sense Disambiguation (WSD)
- Sense-Oriented Sentence Semantic Relatedness Measure
- Semantic Relatedness Score
- Edge-Based Feature
- Sense Based Feature
- Word Order Information