NDLI: New information content metric and nominalization relation for a new WordNet-based method to measure the semantic relatedness

Content Provider	IEEE Xplore Digital Library
Author	Hadj Taieb, M.A. Ben Aouicha, M. Tmar, M. Ben Hamadou, A.
Copyright Year	2011
Description	Author affiliation: MIRACL Laboratory, ISIMS, Cité Ons, 3021 Sfax, Tunisia (Tmar, M.; Ben Hamadou, A.) \|\| MIRACL Laboratory, ISECS, B.P. 868, 3000 Sfax, Tunisia (Ben Aouicha, M.) \|\| MIRACL Laboratory, FSEGS, B.P. 1088, 3018 Sfax, Tunisia (Hadj Taieb, M.A.)
Abstract	Semantic similarity techniques are used to compute the semantic similarity (common shared information) between two concepts according to certain language or domain resources like ontologies, taxonomies, corpora, etc. Semantic similarity techniques constitute important components in most Information Retrieval (IR) and knowledge-based systems. Taking semantics into account passes by the use of external semantic resources coupled with the initial documentation on which it is necessary to have semantic similarity measurements to carry out comparisons between concepts. This paper presents a new approach for measuring semantic relatedness between words and concepts. It combines a new information content (IC) metric using the WordNet thesaurus and the nominalization relation provided by the Java WordNet Library (JWNL). Specifically, the proposed method offers a thorough use of the relation hypernym/hyponym (noun and verb “is a” taxonomy) without external corpus statistical information. Mainly, we use the subgraph formed by hypernyms of the concerned concept which inherits the whole features of its hypernyms and we quantify the contribution of each concept pertaining to this subgraph in its information content. When tested on a common data set of word pair similarity ratings, the proposed approach outperforms other computational models. It gives the highest correlation value 0.70 with a benchmark based on human similarity judgments and especially a large dataset composed of 260 Finkelstein word pairs (Appendix 1 and 2).
Starting Page	51
Ending Page	58
File Size	330563
Page Count	8
File Format	PDF
ISBN	9781467306874
e-ISBN	9781467306881
DOI	10.1109/CIS.2011.6169134
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-01
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Integrated circuits Measurement Nominalization Semantic Similarity Semantics Taxonomy Humans Information Content JWNL Intelligent systems Joining processes WordNet
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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