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Author Montoyo, A. ♦ Palomar, M.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2000
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Computer programming, programs & data
Subject Keyword Taxonomy ♦ Software systems ♦ Natural language processing ♦ Morphology ♦ Buildings ♦ Electronic equipment testing ♦ Upper bound ♦ Samarium
Abstract The authors present a method for the automatic disambiguating of nouns in English texts, using the notion of specification marks and employing the noun taxonomy of the WordNet lexical knowledge base (G.A. Miller et al., 1990). The method resolves the lexical ambiguity of nouns in any sort of text, and although it relies on the semantic relations (Hypernymy and Hyponymy) and the hierarchic organization of WordNet, it does not, however, require any sort of training process, no hand-coding of lexical entries, nor the hand-tagging of texts. An evaluation of the method was done on both the Semantic Concordance Corpus (Semcor) (G.A. Miller et al., 1993), and on Microsoft's electronic encyclopaedia ("Microsoft 98 Encarta Encyclopaedia Deluxe"). The percentage of correct resolutions achieved with these two corpora were: Semcor 65.8% and Microsoft 65.6%. Such results suggest that our proposed method is quite a stable one.
Description Author affiliation: Dept. of Software & Comput. Syst., Alicante Univ., Spain (Montoyo, A.)
ISBN 0769506801
ISSN 15294188
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2000-09-04
Publisher Place UK
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 465.67 kB
Page Count 5
Starting Page 103
Ending Page 107

Source: IEEE Xplore Digital Library