Paper: Speech-Based Information Retrieval System With Clarification Dialogue Strategy

ACL ID H05-1126
Title Speech-Based Information Retrieval System With Clarification Dialogue Strategy
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2005
Authors

This paper addresses a dialogue strategy to clarify and constrain the queries for speech-driven document retrieval systems. In spoken dialogue interfaces, users often make utterances before the query is com- pletely generated in their mind; thus input queries are often vague or fragmental. As a result, usually many items are matched. We propose an efficient dialogue frame- work, where the system dynamically se- lects an optimal question based on infor- mation gain (IG), which represents reduc- tion of matched items. A set of possible questions is prepared using various knowl- edge sources. As a bottom-up knowl- edge source, we extract a list of words that can take a number of objects and po- tentially causes ambiguity, using a depen- dency structure analysis of the document texts. This is ...