| 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,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,7-2-P03-1031,ak | the <term> system </term> to understand <term> | user utterances | </term> based on the <term> context </term> of | #4146 This process enables the system to understanduser utterances based on the context of a dialogue. | |
| 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. |
