Example-based query generation for spontaneous speech

H. Murao, Nobuo Kawaguchi, Shigeki Matsubara, Y. Inagaki · 2005

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.

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