@inproceedings{432d7a7eb44c492392383b87f55f272e,
title = "Word concept model: A Knowledge representation for dialogue agents",
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.",
author = "Yang Li and Tong Zhang and Levinson, {Stephen E.}",
year = "2000",
language = "English (US)",
series = "6th International Conference on Spoken Language Processing, ICSLP 2000",
publisher = "International Speech Communication Association",
booktitle = "6th International Conference on Spoken Language Processing, ICSLP 2000",
note = "6th International Conference on Spoken Language Processing, ICSLP 2000 ; Conference date: 16-10-2000 Through 20-10-2000",
}