Implementing WordNet Measures of Lexical Semantic Similarity in a Fuzzy Logic Programming System. Issue 2 (3rd March 2021)

• Record Type: Journal Article
• Authors: JULIÁN-IRANZO, PASCUAL; SÁENZ-PÉREZ, FERNANDO
• Is Part Of: Theory and practice of logic programming. Volume 21:Issue 2(2021)
• Page Start: 264
• Page End: 282
• Publication Date: 2021-03-03
• Subjects: fuzzy logic programming -- WordNet -- proximity equations -- system implementation; Logic programming -- Periodicals; Artificial intelligence -- Computer programs -- Periodicals; Constraint programming (Computer science) -- Periodicals; 005.115
• DOI: 10.1017/S1471068421000028
• Languages: English
• ISSNs: 1471-0684

Abstract

Abstract: This paper introduces techniques to integrate WordNet into a Fuzzy Logic Programming system. Since WordNet relates words but does not give graded information on the relation between them, we have implemented standard similarity measures and new directives allowing the proximity equations linking two words to be generated with an approximation degree. Proximity equations are the key syntactic structures which, in addition to a weak unification algorithm, make a flexible query-answering process possible in this kind of programming language. This addition widens the scope of Fuzzy Logic Programming, allowing certain forms of lexical reasoning, and reinforcing Natural Language Processing (NLP) applications.