Concordance

Query user 28 >
Sort Right 28 (1,305.4 per million)

other,15-8-C92-3165,bq	</term> after the interaction with the <term>	user	</term> . A <term> pilot system </term> has shown	#18257 Detected unknown words can be incrementally incorporated into the dictionary after the interaction with theuser.
other,36-2-H01-1055,bq	sophisticated at responding to the <term>	user	</term> . The issue of <term> system response	#966 However, the improved speech recognition has brought to light a new problem: as dialog systems understand more of what the user tells them, they need to be more sophisticated at responding to theuser.
other,15-4-J88-3002,bq	</term> may be required to keep about a <term>	user	</term> are then identified and discussed	#16082 The types of information that a user model may be required to keep about auser are then identified and discussed.
other,1-6-C92-3165,bq	the first <term> utterance </term> . The <term>	user	</term> does not have to speak the whole <term>	#18214 Theuser does not have to speak the whole sentence again.
measure(ment),8-3-H01-1040,bq	results of a preliminary , <term> qualitative	user	evaluation </term> of the <term> system </term>	#353 We also report results of a preliminary, qualitative user evaluation of the system, which while broadly positive indicates further work needs to be done on the interface to make users aware of the increased potential of IE-enhanced text browsers.
other,13-1-P03-1033,bq	cooperative responses </term> to each <term>	user	</term> in <term> spoken dialogue systems </term>	#4292 We address appropriate user modeling in order to generate cooperative responses to eachuser in spoken dialogue systems.
other,28-2-P06-4007,bq	users </term> need by analyzing how a <term>	user	</term> interacts with a system while gathering	#11682 FERRET utilizes a novel approach to Q/A known as predictive questioning which attempts to identify the questions (and answers) that users need by analyzing how auser interacts with a system while gathering information related to a particular scenario.
model,6-6-J88-3002,bq	Since acquiring the knowledge for a <term>	user	model </term> is a fundamental problem in	#16124 Since acquiring the knowledge for auser model is a fundamental problem in user modeling, a section is devoted to this topic.
model,8-3-J88-3002,bq	with a characterization of what a <term>	user	model </term> is and how it can be used .	#16057 It begins with a characterization of what auser model is and how it can be used.
model,6-4-J88-3002,bq	. The types of information that a <term>	user	model </term> may be required to keep about	#16073 The types of information that auser model may be required to keep about a user are then identified and discussed.
model,16-2-P03-1033,bq	typical kinds of <term> users </term> , the <term>	user	model </term> we propose is more comprehensive	#4314 Unlike previous studies that focus on user's knowledge or typical kinds of users, theuser model we propose is more comprehensive.
tech,13-6-J88-3002,bq	</term> is a fundamental problem in <term>	user	modeling </term> , a section is devoted to	#16131 Since acquiring the knowledge for a user model is a fundamental problem inuser modeling, a section is devoted to this topic.
tech,5-6-P03-1033,bq	Dialogue strategies </term> based on the <term>	user	modeling </term> are implemented in <term>	#4385 Dialogue strategies based on theuser modeling are implemented in Kyoto city bus information system that has been developed at our laboratory.
tech,9-7-J88-3002,bq	benefits and costs of implementing a <term>	user	modeling component </term> for a <term> system	#16151 Next, the benefits and costs of implementing auser modeling component for a system are weighed in light of several aspects of the interaction requirements that may be imposed by the system.
tech,3-1-P03-1033,bq	effective . We address appropriate <term>	user	modeling </term> in order to generate <term>	#4282 We address appropriateuser modeling in order to generate cooperative responses to each user in spoken dialogue systems.
tech,6-2-J88-3002,bq	</term> . This paper explores the role of <term>	user	modeling </term> in such <term> systems </term>	#16043 This paper explores the role ofuser modeling in such systems.
tech,8-8-J88-3002,bq	, the current state of research in <term>	user	modeling </term> is summarized , and future	#16184 Finally, the current state of research inuser modeling is summarized, and future research topics that must be addressed in order to achieve powerful, general user modeling systems are assessed.
tech,28-8-J88-3002,bq	order to achieve powerful , general <term>	user	modeling systems </term> are assessed . This	#16204 Finally, the current state of research in user modeling is summarized, and future research topics that must be addressed in order to achieve powerful, generaluser modeling systems are assessed.
model,8-3-P03-1033,bq	Specifically , we set up three dimensions of <term>	user	models </term> : <term> skill level </term> to	#4330 Specifically, we set up three dimensions ofuser models: skill level to the system, knowledge level on the target domain and the degree of hastiness.
other,22-2-P01-1070,bq	target variables which represent a <term>	user	's informational goals </term> . We report	#2165 These models, which are built from shallow linguistic features of questions, are employed to predict target variables which represent auser's informational goals.


	in Help