LREC 2000 2nd International Conference on Language Resources & Evaluation

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Title Extraction of Semantic Clusters for Terminological Information Retrieval from MRDs
Authors Sierra Gerardo (Instituto de Ingeniería, UNAM Apdo. Postal 70-472 México 04510, D.F., email:
McNaught John (Centre for Computational Linguistics, UMIST P.O.Box 88 Manchester, U.K., M60 1QD email:
Keywords Clustering, Definitions, Dictionaries, Information Retrieval, Lexicography, Natural Language Processing, Ontologies, Semantics, Terminology
Session Session TP1 - Terminology
Full Paper, 35.pdf
Abstract This paper describes a semantic clustering method for data extracted from machine readable dictionaries (MRDs) in order to build a terminological information retrieval system that finds terms from descriptions of concepts. We first examine approaches based on ontologies and statistics, before introducing our analogy-based approach that lets us extract semantic clusters by aligning definitions from two dictionaries. Evaluation of the final set of clusters for a small set of definitions demonstrates the utility of our approach.