Concordance

Query P03-1031 28 >
Multilevel Sort 28 (1,305.4 per million)

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.
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,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,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.
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.
other,13-4-P03-1031,bq	resolving the <term> ambiguity </term> as the <term>	dialogue	</term> progresses , the <term> discourse understanding	#4205 By holding multiple candidates for understanding results and resolving the ambiguity as thedialogue progresses, the discourse understanding accuracy can be improved.
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.
other,17-3-P03-1031,bq	<term> user utterance </term> due to the <term>	ambiguity	</term> of <term> speech understanding </term>	#4172 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 understandingresult after each user utterance.
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.
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,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.
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,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.
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.
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.
tech,11-7-P03-1031,bq	system </term> that exploits the proposed <term>	method	</term> performs sufficiently and that holding	#4265 Experiment results have shown that a system that exploits the proposedmethod performs sufficiently and that holding multiple candidates for understanding results is effective.
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.
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.


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