| other,35-3-P03-1031,ak | understanding result </term> after each <term> | user utterance | </term> . By holding multiple <term> candidates | #4191 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 understanding result after eachuser utterance. | |
| 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. | |
| 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. | |
| 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,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,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. |
