be obtained . To support engaging human users in robust , <term> mixed-initiative speech
measure(ment),8-3-H01-1040,bq results of a preliminary , <term> qualitative user evaluation </term> of the <term> system </term>
other,31-3-H01-1040,bq on the <term> interface </term> to make <term> users </term> aware of the increased potential
other,14-2-H01-1049,bq agents </term> that mediate between <term> users </term> and <term> information sources </term>
other,22-2-H01-1055,bq </term> understand more of what the <term> user </term> tells them , they need to be more
other,36-2-H01-1055,bq sophisticated at responding to the <term> user </term> . The issue of <term> system response
other,6-3-H01-1055,bq issue of <term> system response </term> to <term> users </term> has been extensively studied by the
measure(ment),4-2-H01-1068,bq systems </term> . The three tiers measure <term> user satisfaction </term> , <term> system support
other,10-3-H01-1068,bq this approach in numerous fielded <term> user studies </term> conducted with the U.S. military
other,22-2-P01-1070,bq target variables which represent a <term> user 's informational goals </term> . We report
multilingual , multimedia data </term> . It gives users the ability to spend their time finding
other,7-2-P03-1031,bq the <term> system </term> to understand <term> user utterances </term> based on the <term> context
other,12-3-P03-1031,bq </term> result can be obtained for a <term> user utterance </term> due to the <term> ambiguity
other,34-3-P03-1031,bq understandingresult </term> after each <term> user utterance </term> . By holding multiple <term>
tech,3-1-P03-1033,bq effective . We address appropriate <term> user modeling </term> in order to generate <term>
other,13-1-P03-1033,bq cooperative responses </term> to each <term> user </term> in <term> spoken dialogue systems </term>
other,6-2-P03-1033,bq Unlike previous studies that focus on <term> user </term> 's <term> knowledge </term> or typical
other,13-2-P03-1033,bq knowledge </term> or typical kinds of <term> users </term> , the <term> user model </term> we propose
model,16-2-P03-1033,bq typical kinds of <term> users </term> , the <term> user model </term> we propose is more comprehensive
model,8-3-P03-1033,bq Specifically , we set up three dimensions of <term> user models </term> : <term> skill level </term> to
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