Title: EXAMPLE-BASED QUERY GENERATION FOR SPONTANEOUS SPEECH

Authors: Hiroya Murao, Nobuo Kawaguchi, Shigeki Matsubara, Yasuyoshi Inagaki

Abstract: This paper proposes a new query generation method that is based on examples of human-to-human dialogue. Along with modeling the information flow in dialogue, a system for information retrieval in car has been designed. The system refers to the dialogue corpus to find an example that is similar to input speech, and makes a query from the example. We also give the experimental results to show the effectiveness of this method.

a01hm037.ps a01hm037.pdf