| be obtained . To support engaging human | users | in <term> robust , mixed-initiative speech | #210 To support engaging human users in robust, mixed-initiative speech dialogue interactions which reach beyond current capabilities in dialogue systems, the DARPA Communicator program [1] is funding the development of a distributed message-passing infrastructure for dialogue systems which all Communicator participants are using. | ||
| other,8-3-H01-1040,ak | 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,31-3-H01-1040,ak | to be done on the interface to make <term> | users | </term> aware of the increased potential | #375 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 makeusers aware of the increased potential of IE-enhanced text browsers. | |
| other,14-2-H01-1049,ak | agents </term> that mediate between <term> | users | </term> and <term> information sources </term> | #809 We integrate a spoken language understanding system with intelligent mobile agents that mediate betweenusers and information sources. | |
| other,22-2-H01-1055,ak | </term> understand more of what the <term> | user | </term> tells them , they need to be more | #952 However, the improved speech recognition has brought to light a new problem: as dialog systems understand more of what theuser tells them, they need to be more sophisticated at responding to the user. | |
| other,36-2-H01-1055,ak | 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,6-3-H01-1055,ak | issue of <term> system response </term> to <term> | users | </term> has been extensively studied by the | #974 The issue of system response tousers has been extensively studied by the natural language generation community, though rarely in the context of dialog systems. | |
| measure(ment),4-2-H01-1068,ak | 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. | |
| use of this approach in numerous fielded | user | studies conducted with the U.S. military | #1233 We describe our use of this approach in numerous fielded user studies conducted with the U.S. military. | ||
| other,22-2-P01-1070,ak | target variables which represent a <term> | user | 's informational goals </term> . We report | #2166 These models, which are built from shallow linguistic features of questions, are employed to predict target variables which represent auser's informational goals. | |
| multilingual , multimedia data . It gives | users | the ability to spend their time finding | #3607 It gives users the ability to spend their time finding more data relevant to their task, and gives them translingual reach into other languages by leveraging human language technology. | ||
| other,7-2-P03-1031,ak | the <term> system </term> to understand <term> | user | utterances </term> based on the <term> context | #4146 This process enables the system to understanduser utterances based on the context of a dialogue. | |
| other,12-3-P03-1031,ak | result </term> can be obtained for a <term> | user | utterance </term> due to the <term> ambiguity | #4168 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 understanding result after each user utterance. | |
| other,35-3-P03-1031,ak | understanding result </term> after each <term> | user | utterance </term> . By holding multiple <term> | #4191 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 understanding result after eachuser utterance. | |
| tech,3-1-P03-1033,ak | effective . We address appropriate <term> | user | modeling </term> in order to generate <term> | #4284 We address appropriateuser modeling in order to generate cooperative responses to each user in spoken dialogue systems. | |
| <term> cooperative responses </term> to each | user | in <term> spoken dialogue systems </term> . | #4294 We address appropriate user modeling in order to generate cooperative responses to each user in spoken dialogue systems. | ||
| other,6-2-P03-1033,ak | Unlike previous studies that focus on <term> | user | 's knowledge </term> or typical kinds of <term> | #4306 Unlike previous studies that focus onuser's knowledge or typical kinds of users, the user model we propose is more comprehensive. | |
| other,13-2-P03-1033,ak | knowledge </term> or typical kinds of <term> | users | </term> , the <term> user model </term> we propose | #4313 Unlike previous studies that focus on user's knowledge or typical kinds ofusers, the user model we propose is more comprehensive. | |
| model,16-2-P03-1033,ak | typical kinds of <term> users </term> , the <term> | user | model </term> we propose is more comprehensive | #4316 Unlike previous studies that focus on user's knowledge or typical kinds of users, theuser model we propose is more comprehensive. | |
| model,8-3-P03-1033,ak | up three <term> dimensions </term> of <term> | user | models </term> : <term> skill level </term> to | #4332 Specifically, we set up three dimensions ofuser models: skill level to the system, knowledge level on the target domain and the degree of hastiness. |
