tech,19-3-P03-1031,ak due to the <term> ambiguity </term> of <term> speech understanding </term> , it is not appropriate to decide
model,5-6-P03-1031,ak Unlike conventional methods that use <term> hand-crafted rules </term> , the proposed method enables easy
other,35-3-P03-1031,ak understanding result </term> after each <term> user utterance </term> . By holding multiple <term> candidates
other,16-6-P03-1031,ak method enables easy design of the <term> discourse understanding process </term> . Experiment results have shown that
other,15-2-P03-1031,ak based on the <term> context </term> of a <term> dialogue </term> . Since multiple <term> candidates </term>
tech,8-1-P03-1031,ak discourse understanding process </term> in <term> spoken dialogue systems </term> . This process enables the <term> system
lr,15-5-P03-1031,ak statistical information </term> obtained from <term> dialogue corpora </term> . Unlike conventional methods that
other,31-3-P03-1031,ak appropriate to decide on a single <term> understanding result </term> after each <term> user utterance </term>
other,5-4-P03-1031,ak multiple <term> candidates </term> for <term> understanding results </term> and resolving the <term> ambiguity </term>
other,10-4-P03-1031,ak understanding results </term> and resolving the <term> ambiguity </term> as the <term> dialogue </term> progresses
other,8-5-P03-1031,ak proposes a method for resolving this <term> ambiguity </term> based on <term> statistical information
other,7-2-P03-1031,ak the <term> system </term> to understand <term> user utterances </term> based on the <term> context </term> of
measure(ment),17-4-P03-1031,ak <term> dialogue </term> progresses , the <term> discourse understanding accuracy </term> can be improved . This paper proposes
other,5-3-P03-1031,ak multiple <term> candidates </term> for the <term> understanding result </term> can be obtained for a <term> user utterance
other,12-3-P03-1031,ak result </term> can be obtained for a <term> user utterance </term> due to the <term> ambiguity </term> of
other,2-3-P03-1031,ak <term> dialogue </term> . Since multiple <term> candidates </term> for the <term> understanding result
other,3-4-P03-1031,ak utterance </term> . By holding multiple <term> candidates </term> for <term> understanding results </term>
other,18-7-P03-1031,ak sufficiently and that holding multiple <term> candidates </term> for <term> understanding results </term>
other,4-1-P03-1031,ak hypothesis . This paper concerns the <term> discourse understanding process </term> in <term> spoken dialogue systems </term>
other,20-7-P03-1031,ak multiple <term> candidates </term> for <term> understanding results </term> is effective . We address appropriate
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