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Query P03-1033 27 >
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measure(ment),3-5-P03-1033,bq	system </term> . We obtained reasonable <term>	classification accuracy	</term> for all dimensions . <term> Dialogue	#4374 We obtained reasonableclassification accuracy for all dimensions.
other,9-1-P03-1033,bq	modeling </term> in order to generate <term>	cooperative responses	</term> to each <term> user </term> in <term> spoken	#4288 We address appropriate user modeling in order to generatecooperative responses to each user in spoken dialogue systems.
other,5-7-P03-1033,bq	Experimental evaluation shows that the <term>	cooperative responses	</term> adaptive to <term> individual users	#4408 Experimental evaluation shows that thecooperative responses adaptive to individual users serve as good guidance for novice users without increasing the dialogue duration for skilled users.
tech,8-4-P03-1033,bq	</term> are automatically derived by <term>	decision tree learning	</term> using real <term> dialogue data </term>	#4359 Moreover, the models are automatically derived bydecision tree learning using real dialogue data collected by the system.
lr,13-4-P03-1033,bq	decision tree learning </term> using real <term>	dialogue data	</term> collected by the <term> system </term>	#4364 Moreover, the models are automatically derived by decision tree learning using realdialogue data collected by the system.
other,21-7-P03-1033,bq	users </term> without increasing the <term>	dialogue duration	</term> for <term> skilled users </term> . This	#4424 Experimental evaluation shows that the cooperative responses adaptive to individual users serve as good guidance for novice users without increasing thedialogue duration for skilled users.
other,0-6-P03-1033,bq	accuracy </term> for all dimensions . <term>	Dialogue strategies	</term> based on the <term> user modeling </term>	#4380 We obtained reasonable classification accuracy for all dimensions.Dialogue strategies based on the user modeling are implemented in Kyoto city bus information system that has been developed at our laboratory.
other,27-3-P03-1033,bq	target domain </term> and the degree of <term>	hastiness	</term> . Moreover , the <term> models </term>	#4349 Specifically, we set up three dimensions of user models: skill level to the system, knowledge level on the target domain and the degree ofhastiness.
other,9-7-P03-1033,bq	cooperative responses </term> adaptive to <term>	individual users	</term> serve as good guidance for <term> novice	#4412 Experimental evaluation shows that the cooperative responses adaptive toindividual users serve as good guidance for novice users without increasing the dialogue duration for skilled users.
other,8-2-P03-1033,bq	studies that focus on <term> user </term> 's <term>	knowledge	</term> or typical kinds of <term> users </term>	#4306 Unlike previous studies that focus on user'sknowledge or typical kinds of users, the user model we propose is more comprehensive.
other,17-3-P03-1033,bq	level </term> to the <term> system </term> , <term>	knowledge level	</term> on the <term> target domain </term> and	#4339 Specifically, we set up three dimensions of user models: skill level to the system,knowledge level on the target domain and the degree of hastiness.
tool,10-6-P03-1033,bq	modeling </term> are implemented in <term>	Kyoto city bus information system	</term> that has been developed at our laboratory	#4390 Dialogue strategies based on the user modeling are implemented inKyoto city bus information system that has been developed at our laboratory.
model,3-4-P03-1033,bq	<term> hastiness </term> . Moreover , the <term>	models	</term> are automatically derived by <term>	#4354 Moreover, themodels are automatically derived by decision tree learning using real dialogue data collected by the system.
other,16-7-P03-1033,bq	users </term> serve as good guidance for <term>	novice users	</term> without increasing the <term> dialogue	#4419 Experimental evaluation shows that the cooperative responses adaptive to individual users serve as good guidance fornovice users without increasing the dialogue duration for skilled users.
other,11-3-P03-1033,bq	dimensions of <term> user models </term> : <term>	skill level	</term> to the <term> system </term> , <term> knowledge	#4333 Specifically, we set up three dimensions of user models:skill level to the system, knowledge level on the target domain and the degree of hastiness.
other,24-7-P03-1033,bq	the <term> dialogue duration </term> for <term>	skilled users	</term> . This paper presents an <term> unsupervised	#4427 Experimental evaluation shows that the cooperative responses adaptive to individual users serve as good guidance for novice users without increasing the dialogue duration forskilled users.
tech,15-1-P03-1033,bq	responses </term> to each <term> user </term> in <term>	spoken dialogue systems	</term> . Unlike previous studies that focus	#4294 We address appropriate user modeling in order to generate cooperative responses to each user inspoken dialogue systems.
tech,15-3-P03-1033,bq	</term> : <term> skill level </term> to the <term>	system	</term> , <term> knowledge level </term> on the	#4337 Specifically, we set up three dimensions of user models: skill level to thesystem, knowledge level on the target domain and the degree of hastiness.
tech,18-4-P03-1033,bq	dialogue data </term> collected by the <term>	system	</term> . We obtained reasonable <term> classification	#4369 Moreover, the models are automatically derived by decision tree learning using real dialogue data collected by thesystem.
other,21-3-P03-1033,bq	<term> knowledge level </term> on the <term>	target domain	</term> and the degree of <term> hastiness </term>	#4343 Specifically, we set up three dimensions of user models: skill level to the system, knowledge level on thetarget domain and the degree of hastiness.


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