Sixth International Conference on Spoken Language Processing
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.
Li, Yang / Zhang, Tong / Levinson, Stephen E. (2000):
"Word concept model: a knowledge representation for dialogue agents",
In ICSLP-2000, vol.2, 1019-1022.