Implementing WordNet Measures of Lexical Semantic Similarity in a Fuzzy Logic Programming System-Reference-Cited by-同舟云学术

Implementing WordNet Measures of Lexical Semantic Similarity in a Fuzzy Logic Programming System

Published:2021-03 Issue:2 Volume:21 Page:264-282
ISSN:1471-0684
Container-title:Theory and Practice of Logic Programming
language:en
Short-container-title:Theory and Practice of Logic Programming

Author:

JULIÁN-IRANZO PASCUAL^ORCID,SÁENZ-PÉREZ FERNANDO^ORCID

Abstract

AbstractThis 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.

Publisher

Cambridge University Press (CUP)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

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