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

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

2004-10-25

arxiv.org/abs/cs/0410062v1

Procedings of the LREC 2004 international conference, 26-28 May 2004, Lisbon, Portugal. Pages 2205-2208

Computer Science

Computation and Language

4 pages

Scientific paper

Lexical 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.

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