Sixth International Conference on Spoken Language Processing
(ICSLP 2000)

Beijing, China
October 16-20, 2000

Word Concept Model: A Knowledge Representation For Dialogue Agents

Yang Li, Tong Zhang, Stephen E. Levinson

Beckman Institute and Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, IL, USA

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.


Full Paper

Bibliographic reference.  Li, Yang / Zhang, Tong / Levinson, Stephen E. (2000): "Word concept model: a knowledge representation for dialogue agents", In ICSLP-2000, vol.2, 1019-1022.