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

• Main Authors: van der Plas, Lonneke, Pallotta, Vincenzo, Rajman, Martin, Ghorbel, Hatem
• Format: Journal Article
• Language: English
• Published: 24-10-2004
• Subjects: Computer Science - Computation and Language; Computer Science - Digital Libraries; Computer Science - Information Retrieval
• DOI: 10.48550/arxiv.cs/0410062

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