| other,17-3-P03-1031,ak | <term> user utterance </term> due to the <term> | ambiguity | </term> of <term> speech understanding </term> | #4173 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 understanding result after each user utterance. | |
| other,10-4-P03-1031,ak | understanding results </term> and resolving the <term> | ambiguity | </term> as the <term> dialogue </term> progresses | #4204 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,ak | proposes a method for resolving this <term> | ambiguity | </term> based on <term> statistical information | #4226 This paper proposes a method for resolving thisambiguity based on statistical information obtained from dialogue corpora. | |
| other,2-3-P03-1031,ak | <term> dialogue </term> . Since multiple <term> | candidates | </term> for the <term> understanding result | #4158 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 understanding result after each user utterance. | |
| other,3-4-P03-1031,ak | utterance </term> . By holding multiple <term> | candidates | </term> for <term> understanding results </term> | #4197 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,ak | sufficiently and that holding multiple <term> | candidates | </term> for <term> understanding results </term> | #4274 Experiment results have shown that a system that exploits the proposed method performs sufficiently and that holding multiplecandidates for understanding results is effective. | |
| other,12-2-P03-1031,ak | user utterances </term> based on the <term> | context | </term> of a <term> dialogue </term> . Since | #4151 This process enables the system to understand user utterances based on thecontext of a dialogue. | |
| other,15-2-P03-1031,ak | based on the <term> context </term> of a <term> | dialogue | </term> . Since multiple <term> candidates </term> | #4154 This process enables the system to understand user utterances based on the context of adialogue. | |
| other,13-4-P03-1031,ak | resolving the <term> ambiguity </term> as the <term> | dialogue | </term> progresses , the <term> discourse understanding | #4207 By holding multiple candidates for understanding results and resolving the ambiguity as thedialogue progresses, the discourse understanding accuracy can be improved. | |
| lr,15-5-P03-1031,ak | statistical information </term> obtained from <term> | dialogue corpora | </term> . Unlike conventional methods that | #4233 This paper proposes a method for resolving this ambiguity based on statistical information obtained fromdialogue corpora. | |
| measure(ment),17-4-P03-1031,ak | <term> dialogue </term> progresses , the <term> | discourse understanding accuracy | </term> can be improved . This paper proposes | #4211 By holding multiple candidates for understanding results and resolving the ambiguity as the dialogue progresses, thediscourse understanding accuracy can be improved. | |
| other,4-1-P03-1031,ak | hypothesis . This paper concerns the <term> | discourse understanding process | </term> in <term> spoken dialogue systems </term> | #4131 This paper concerns thediscourse understanding process in spoken dialogue systems. | |
| other,16-6-P03-1031,ak | method enables easy design of the <term> | discourse understanding process | </term> . Experiment results have shown that | #4252 Unlike conventional methods that use hand-crafted rules, the proposed method enables easy design of thediscourse understanding process. | |
| model,5-6-P03-1031,ak | Unlike conventional methods that use <term> | hand-crafted rules | </term> , the proposed method enables easy | #4241 Unlike conventional methods that usehand-crafted rules, the proposed method enables easy design of the discourse understanding process. | |
| tech,19-3-P03-1031,ak | due to the <term> ambiguity </term> of <term> | speech understanding | </term> , it is not appropriate to decide | #4175 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 understanding result after each user utterance. | |
| tech,8-1-P03-1031,ak | discourse understanding process </term> in <term> | spoken dialogue systems | </term> . This process enables the <term> system | #4135 This paper concerns the discourse understanding process inspoken dialogue systems. | |
| other,11-5-P03-1031,ak | this <term> ambiguity </term> based on <term> | statistical information | </term> obtained from <term> dialogue corpora | #4229 This paper proposes a method for resolving this ambiguity based onstatistical information obtained from dialogue corpora. | |
| tech,4-2-P03-1031,ak | systems </term> . This process enables the <term> | system | </term> to understand <term> user utterances | #4143 This process enables thesystem to understand user utterances based on the context of a dialogue. | |
| tech,6-7-P03-1031,ak | Experiment results have shown that a <term> | system | </term> that exploits the proposed method | #4262 Experiment results have shown that asystem that exploits the proposed method performs sufficiently and that holding multiple candidates for understanding results is effective. | |
| other,5-3-P03-1031,ak | multiple <term> candidates </term> for the <term> | understanding result | </term> can be obtained for a <term> user utterance | #4161 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 understanding result after each user utterance. |
