@article{oai:nagoya.repo.nii.ac.jp:00010373, author = {MURAO, Hiroya and KAWAGUCHI, Nobuo and MATSUBARA, Shigeki and INAGAKI, Yasuyoshi}, issue = {2}, journal = {IEICE Transactions on Information and Systems}, month = {Feb}, note = {This paper proposes a new method of example-based query generation for spontaneous speech. Along with modeling the information flows of human dialogues, the authors have designed a system that allows users to retrieve information while driving a car. The system refers to the dialogue corpus to find an example that is similar to
input speech, and it generates a query from the example. The experimental results for the prototype system show that 1) for transcribed text input, it provides the correct query in about 64% of cases and the partially collect query in about 88% 2) it has the ability to create correct queries for the utterances not including keywords, compared with the conventional keyword extraction method.}, pages = {324--329}, title = {Example-Based Query Generation for Spontaneous Speech}, volume = {E88-D}, year = {2005} }