tech,20-7-P03-1031,bq multiple <term> candidates </term> for <term> understanding </term> results is effective . We address
tech,31-3-P03-1031,bq appropriate to decide on a single <term> understandingresult </term> after each <term> user utterance </term>
tech,4-1-P03-1031,bq hypothesis . This paper concerns the <term> discourse understanding process </term> in <term> spoken dialogue systems </term>
tech,4-2-P03-1031,bq systems </term> . This process enables the <term> system </term> to understand <term> user utterances
tech,5-3-P03-1031,bq multiple <term> candidates </term> for the <term> understanding </term> result can be obtained for a <term>
tech,5-4-P03-1031,bq multiple <term> candidates </term> for <term> understanding </term> results and resolving the <term> ambiguity
tech,6-7-P03-1031,bq Experiment results have shown that a <term> system </term> that exploits the proposed <term> method
tech,8-1-P03-1031,bq discourse understanding process </term> in <term> spoken dialogue systems </term> . This process enables the <term> system
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