| tech,19-3-P03-1031,bq | due to the <term> ambiguity </term> of <term> | speech understanding | </term> , it is not appropriate to decide | #4174 Since multiple candidates for the understanding result can be obtained for a user utterance due to the ambiguity ofspeech understanding, it is not appropriate to decide on a single understandingresult after each user utterance. |
| 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. |
| other,34-3-P03-1031,bq | understandingresult </term> after each <term> | user utterance | </term> . By holding multiple <term> candidates | #4189 Since multiple candidates for the understanding 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 eachuser 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,15-2-P03-1031,bq | based on the <term> context </term> of a <term> | dialogue | </term> . Since multiple <term> candidates </term> | #4153 This process enables the system to understand user utterances based on the context of adialogue. |
| tech,8-1-P03-1031,bq | discourse understanding process </term> in <term> | spoken dialogue systems | </term> . This process enables the <term> system | #4134 This paper concerns the discourse understanding process inspoken dialogue systems. |
| lr,15-5-P03-1031,bq | statistical information </term> obtained from <term> | dialogue corpora | </term> . Unlike conventional methods that | #4231 This paper proposes a method for resolving this ambiguity based on statistical information obtained fromdialogue corpora. |
| tech,31-3-P03-1031,bq | appropriate to decide on a single <term> | understandingresult | </term> after each <term> user utterance </term> | #4186 Since multiple candidates for the understanding result can be obtained for a user utterance due to the ambiguity of speech understanding, it is not appropriate to decide on a singleunderstandingresult after each user utterance. |
| 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,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. |
| measure(ment),17-4-P03-1031,bq | <term> dialogue </term> progresses , the <term> | discourse understanding accuracy | </term> can be improved . This paper proposes | #4209 By holding multiple candidates for understanding results and resolving the ambiguity as the dialogue progresses, thediscourse understanding accuracy can be improved. |
| other,12-3-P03-1031,bq | </term> result can be obtained for a <term> | user utterance | </term> due to the <term> ambiguity </term> of | #4167 Since multiple candidates for the understanding result can be obtained for auser utterance due to the ambiguity of speech understanding, it is not appropriate to decide on a single understandingresult after each user utterance. |
| tech,10-6-P03-1031,bq | hand-crafted rules </term> , the proposed <term> | method | </term> enables easy design of the <term> discourse | #4244 Unlike conventional methods that use hand-crafted rules, the proposedmethod enables easy design of the discourse understanding process. |
| other,2-3-P03-1031,bq | <term> dialogue </term> . Since multiple <term> | candidates | </term> for the <term> understanding </term> | #4157 Since multiplecandidates for the understanding 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. |
| other,3-4-P03-1031,bq | utterance </term> . By holding multiple <term> | candidates | </term> for <term> understanding </term> results | #4195 By holding multiplecandidates for understanding results and resolving the ambiguity as the dialogue progresses, the discourse understanding accuracy can be improved. |
| other,18-7-P03-1031,bq | sufficiently and that holding multiple <term> | candidates | </term> for <term> understanding </term> results | #4272 Experiment results have shown that a system that exploits the proposed method performs sufficiently and that holding multiplecandidates for understanding results is effective. |
| tech,4-1-P03-1031,bq | hypothesis . This paper concerns the <term> | discourse understanding process | </term> in <term> spoken dialogue systems </term> | #4130 This paper concerns thediscourse understanding process in spoken dialogue systems. |
| other,11-5-P03-1031,bq | this <term> ambiguity </term> based on <term> | statistical information | </term> obtained from <term> dialogue corpora | #4227 This paper proposes a method for resolving this ambiguity based onstatistical information obtained from dialogue corpora. |
| 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. |
