Word concept model: A Knowledge representation for dialogue agents

Yang Li, Tong Zhang, Stephen E. Levinson

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

Abstract

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. A layered 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 layered concept structure and how knowledge about words can be stored in this concept model.

Original languageEnglish (US)
Title of host publication6th International Conference on Spoken Language Processing, ICSLP 2000
PublisherInternational Speech Communication Association
ISBN (Electronic)7801501144, 9787801501141
StatePublished - Jan 1 2000
Event6th International Conference on Spoken Language Processing, ICSLP 2000 - Beijing, China
Duration: Oct 16 2000Oct 20 2000

Publication series

Name6th International Conference on Spoken Language Processing, ICSLP 2000

Other

Other6th International Conference on Spoken Language Processing, ICSLP 2000
CountryChina
CityBeijing
Period10/16/0010/20/00

ASJC Scopus subject areas

  • Linguistics and Language
  • Language and Linguistics

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