| tech,5-3-P03-1031,bq | multiple <term> candidates </term> for the <term> | understanding | </term> result can be obtained for a <term> | #4160 Since multiple candidates for theunderstanding result can be obtained for a user utterance due to the ambiguity of speech understanding, it is not appropriate to decide on a single understandingresult after each user utterance. |
| tech,16-6-P03-1031,bq | method </term> enables easy design of the <term> | discourse understanding process | </term> . Experiment results have shown that | #4250 Unlike conventional methods that use hand-crafted rules, the proposed method enables easy design of thediscourse understanding process. |
| other,12-2-P03-1031,bq | user utterances </term> based on the <term> | context | </term> of a <term> dialogue </term> . Since | #4150 This process enables the system to understand user utterances based on thecontext of a dialogue. |
| other,10-4-P03-1031,bq | understanding </term> results and resolving the <term> | ambiguity | </term> as the <term> dialogue </term> progresses | #4202 By holding multiple candidates for understanding results and resolving theambiguity as the dialogue progresses, the discourse understanding accuracy can be improved. |
| other,17-3-P03-1031,bq | <term> user utterance </term> due to the <term> | ambiguity | </term> of <term> speech understanding </term> | #4172 Since multiple candidates for the understanding result can be obtained for a user utterance due to theambiguity of speech understanding, it is not appropriate to decide on a single understandingresult after each user utterance. |
| other,8-5-P03-1031,bq | proposes a method for resolving this <term> | ambiguity | </term> based on <term> statistical information | #4224 This paper proposes a method for resolving thisambiguity based on statistical information obtained from dialogue corpora. |
| other,7-2-P03-1031,bq | the <term> system </term> to understand <term> | user utterances | </term> based on the <term> context </term> of | #4145 This process enables the system to understanduser utterances based on the context of a dialogue. |
| other,5-6-P03-1031,bq | Unlike conventional methods that use <term> | hand-crafted rules | </term> , the proposed <term> method </term> | #4239 Unlike conventional methods that usehand-crafted rules, the proposed method enables easy design of the discourse understanding process. |
