| 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. | |
| 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,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. | |
| other,5-4-P03-1031,ak | multiple <term> candidates </term> for <term> | understanding results | </term> and resolving the <term> ambiguity </term> | #4199 By holding multiple candidates forunderstanding results and resolving the ambiguity as the dialogue 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. |
