TeiVM2, France, Analysis, bibRecord, 000052

Knowledge extraction from machine-readable dictionaries: An evaluation

Identifieur interne : 000052 ( France/Analysis ); précédent : 000051; suivant : 000053

Knowledge extraction from machine-readable dictionaries: An evaluation

Auteurs : Nancy Ide [France] ; Jean Véronis [États-Unis, France]

Source :

Lecture Notes in Computer Science [ 0302-9743 ] ; 1995.

RBID : ISTEX:7E40445436FA55E019FC991A19830840653296DA

Abstract

Abstract: Machine-readable versions of everyday dictionaries have been seen as a likely source of information for use in natural language processing because they contain an enormous amount of lexical and semantic knowledge. However, after 15 years of research, the results appear to be disappointing. No comprehensive evaluation of machine-readable dictionaries (MRDs) as a knowledge source has been made to date, although this is necessary to determine what, if anything, can be gained from MRD research. To this end, this paper will first consider the postulates upon which MRD research has been based over the past fifteen years, discuss the validity of these postulates, and evaluate the results of this work. We will then propose possible future directions and applications that may exploit these years of effort, in the light of current directions in not only NLP research, but also fields such as lexicography and electronic publishing.

Url:

https://api.istex.fr/document/7E40445436FA55E019FC991A19830840653296DA/fulltext/pdf

DOI: 10.1007/3-540-59040-4_18

Affiliations:

Links toward previous steps (curation, corpus...)

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to stream Main, to step Merge: 000524
to stream Main, to step Curation: 000493
to stream Main, to step Exploration: 000493
to stream France, to step Extraction: 000052

Links to Exploration step

ISTEX:7E40445436FA55E019FC991A19830840653296DA

Le document en format XML

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<front><div type="abstract" xml:lang="en">Abstract: Machine-readable versions of everyday dictionaries have been seen as a likely source of information for use in natural language processing because they contain an enormous amount of lexical and semantic knowledge. However, after 15 years of research, the results appear to be disappointing. No comprehensive evaluation of machine-readable dictionaries (MRDs) as a knowledge source has been made to date, although this is necessary to determine what, if anything, can be gained from MRD research. To this end, this paper will first consider the postulates upon which MRD research has been based over the past fifteen years, discuss the validity of these postulates, and evaluate the results of this work. We will then propose possible future directions and applications that may exploit these years of effort, in the light of current directions in not only NLP research, but also fields such as lexicography and electronic publishing.</div>
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Knowledge extraction from machine-readable dictionaries: An evaluation

Knowledge extraction from machine-readable dictionaries: An evaluation

Source :

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri