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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,4-2-P05-3025,bq	</term> . The <term> method </term> allows a <term>	user	</term> to explore a <term> model </term> of <term>	#9852 The method allows auser to explore a model of syntax-based statistical machine translation (MT), to understand the model's strengths and weaknesses, and to compare it to other MT systems.
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.
other,12-3-P03-1031,bq	</term> result can be obtained for a <term>	user	utterance </term> due to the <term> ambiguity	#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,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.
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.
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.
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,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.
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.
other,34-3-P03-1031,bq	understandingresult </term> after each <term>	user	utterance </term> . By holding multiple <term>	#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,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,10-3-H01-1068,bq	this approach in numerous fielded <term>	user	studies </term> conducted with the U.S. military	#1233 We describe our use of this approach in numerous fieldeduser studies conducted with the U.S. military.
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.
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,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.
measure(ment),4-2-H01-1068,bq	systems </term> . The three tiers measure <term>	user	satisfaction </term> , <term> system support	#1211 The three tiers measureuser satisfaction, system support of mission success and component performance.
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.
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.
other,6-2-P03-1033,bq	Unlike previous studies that focus on <term>	user	</term> 's <term> knowledge </term> or typical	#4304 Unlike previous studies that focus onuser's knowledge or typical kinds of users, the user model we propose is more comprehensive.


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