Automatic Keyword Extraction from Spoken Text. A Comparison of two Lexical Resources: the EDR and WordNet

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dc.creatorvan der Plas, Lonneke
dc.creatorPallotta, Vincenzo
dc.creatorRajman, Martin
dc.creatorGhorbel, Hatem
dc.date2004-10-25
dc.date.accessioned2026-07-07T03:21:55Z
dc.date.available2026-07-07T03:21:55Z
dc.descriptionLexical resources such as WordNet and the EDR electronic dictionary have been used in several NLP tasks. Probably, partly due to the fact that the EDR is not freely available, WordNet has been used far more often than the EDR. We have used both resources on the same task in order to make a comparison possible. The task is automatic assignment of keywords to multi-party dialogue episodes (i.e. thematically coherent stretches of spoken text). We show that the use of lexical resources in such a task results in slightly higher performances than the use of a purely statistically based method.
dc.description4 pages
dc.identifierhttps://arxiv.org/abs/cs/0410062
dc.identifierhttp://arxiv.org/abs/cs/0410062
dc.identifierProcedings of the LREC 2004 international conference, 26-28 May 2004, Lisbon, Portugal. Pages 2205-2208
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/32390
dc.subjectComputation and Language
dc.subjectDigital Libraries
dc.subjectInformation Retrieval
dc.subjectH.3.1;H.3.3;I.5.3;I.7.3
dc.titleAutomatic Keyword Extraction from Spoken Text. A Comparison of two Lexical Resources: the EDR and WordNet
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