ISCA Archive ICSLP 2000
ISCA Archive ICSLP 2000

Word concept model: a knowledge representation for dialogue agents

Yang Li, Tong Zhang, Stephen E. Levinson

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.


Cite as: Li, Y., Zhang, T., Levinson, S.E. (2000) Word concept model: a knowledge representation for dialogue agents. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 2, 1019-1022

@inproceedings{li00g_icslp,
  author={Yang Li and Tong Zhang and Stephen E. Levinson},
  title={{Word concept model: a knowledge representation for dialogue agents}},
  year=2000,
  booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
  pages={vol. 2, 1019-1022}
}