<term> Oral communication </term> is ubiquitous and carries important information yet it is also time consuming to document .
Several extensions of this basic idea are being discussed and/or evaluated : Similar to activities one can define subsets of larger <term> database </term> and detect those automatically which is shown on a large <term> database </term> of <term> TV shows </term> .
Despite the small size of the <term> databases </term> used some results about the effectiveness of these <term> indices </term> can be obtained . To support engaging human users in robust , <term> mixed-initiative speech dialogue interactions </term> which reach beyond current capabilities in <term> dialogue systems </term> , the <term> DARPA Communicator program </term> [ 1 ] is funding the development of a <term> distributed message-passing infrastructure </term> for <term> dialogue systems </term> which all <term> Communicator </term> participants are using .
In this paper we show how two standard outputs from <term> information extraction ( IE ) systems </term> - <term> named entity annotations </term> and <term> scenario templates </term> - can be used to enhance access to <term> text collections </term> via a standard <term> text browser </term> .
In this paper we show how two standard outputs from <term> information extraction ( IE ) systems </term> - <term> named entity annotations </term> and <term> scenario templates </term> - can be used to enhance access to <term> text collections </term> via a standard <term> text browser </term> .
We describe how this information is used in a <term> prototype system </term> designed to support <term> information workers </term> ' access to a <term> pharmaceutical news archive </term> as part of their <term> industry watch </term> function .
We describe how this information is used in a <term> prototype system </term> designed to support <term> information workers </term> ' access to a <term> pharmaceutical news archive </term> as part of their <term> industry watch </term> function .
We also report results of a preliminary , <term> qualitative user evaluation </term> of the <term> system </term> , which while broadly positive indicates further work needs to be done on the <term> interface </term> to make <term> users </term> aware of the increased potential of <term> IE-enhanced text browsers </term> .
We also report results of a preliminary , <term> qualitative user evaluation </term> of the <term> system </term> , which while broadly positive indicates further work needs to be done on the <term> interface </term> to make <term> users </term> aware of the increased potential of <term> IE-enhanced text browsers </term> .
( iii ) <term> Rapid system development </term> and porting to new <term> domains </term> via <term> knowledge-based automated acquisition of grammars </term> .
The purpose of this research is to test the efficacy of applying <term> automated evaluation techniques </term> , originally devised for the <term> evaluation </term> of <term> human language learners </term> , to the <term> output </term> of <term> machine translation ( MT ) systems </term> .
The purpose of this research is to test the efficacy of applying <term> automated evaluation techniques </term> , originally devised for the <term> evaluation </term> of <term> human language learners </term> , to the <term> output </term> of <term> machine translation ( MT ) systems </term> .
We tested this to see if similar criteria could be elicited from duplicating the experiment using <term> machine translation output </term> .
Subjects were given a set of up to six extracts of <term> translated newswire text </term> .
The subjects were given three minutes per extract to determine whether they believed the sample output to be an <term> expert human translation </term> or a <term> machine translation </term> .
The subjects were given three minutes per extract to determine whether they believed the sample output to be an <term> expert human translation </term> or a <term> machine translation </term> .
Additionally , they were asked to mark the <term> word </term> at which they made this decision .
Using <term> LCS-Marine </term> , tactical personnel can converse with their logistics system to place a supply or information request .
The request is passed to a <term> mobile , intelligent agent </term> for execution at the appropriate <term> database </term> .
<term> Requestors </term> can also instruct the <term> system </term> to notify them when the status of a <term> request </term> changes or when a <term> request </term> is complete .
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