Word concept model for intelligent dialogue agents

Yang Li, Tong Zhang, Stephen E. Levinson

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Information extraction is a key component in dialogue systems. Knowledge about the world as well as knowledge specific to each word should be used for robust semantic processing. An intelligent agent is necessary for a dialogue system when meanings are strictly defined by using a world state model. An extended concept structure is proposed to represent knowledge associated with each word in a “speech-friendly” way. By considering knowledge stored in the word concept model as well as knowledge base of the world model, meaning of a given sentence can be correctly identified. This paper describes the extended concept structure and how knowledge about words can be stored in this concept model.

Original languageEnglish (US)
Title of host publicationText, Speech and Dialogue - 3rd International Workshop, TSD 2000, Proceedings
EditorsPetr Sojka, Ivan Kopecek, Karel Pala
Number of pages5
ISBN (Print)3540410422, 9783540410423
StatePublished - 2000
Event3rd International Workshop on Text, Speech and Dialogue, TSD 2000 - Brno, Czech Republic
Duration: Sep 13 2000Sep 16 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other3rd International Workshop on Text, Speech and Dialogue, TSD 2000
Country/TerritoryCzech Republic

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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