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. An extended 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 extended concept structure and how knowledge about words can be stored in this concept model.
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© 2000 Springer-Verlag Berlin Heidelberg
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Li, Y., Zhang, T., Levinson, S.E. (2000). Word Concept Model for Intelligent Dialogue Agents. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2000. Lecture Notes in Computer Science(), vol 1902. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45323-7_75
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DOI: https://doi.org/10.1007/3-540-45323-7_75
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41042-3
Online ISBN: 978-3-540-45323-9
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