Recognizing topics through the use of interaction structures

Authors:
Atsushi Takeshita
Affiliations:
NTT Human Interface Laboratories, Kanagawa, Japan
Venue:
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 3
Year:
1992

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Abstract

A crucial problem in topic recognition is how to identify topic continuation. Domain knowledge is generally indispensable for this. However, knowledge-based approaches are impractical because not all domain knowledge needed for the identification can be prepared in advance.This paper presents a topic recognition model using dialogue interaction structures. The model can deal with both task-oriented and non-task-orinted dialogues in any language. Topic continuation is identified without domain knowledge because utterances of relevant topics are indicated by certain interaction structures. The model avoids the weak point of knowledge-based approaches. The model is validated by the result of a topic recognition experiment.