Concordance

automatic detection of those activities

in

meeting situation and everyday rejoinders

</term> which reach beyond current capabilities

in

<term> dialogue systems </term> , the DARPA

infrastructure </term> for this purpose .

In

this paper we show how two standard outputs

systems </term> . This , the first experiment

in

a series of experiments , looks at the <term>

preliminary analysis of the factors involved

in

the decision making process will be presented

developing applications of this technology

in

new domains . Recent advances in <term> Automatic

generation community </term> , though rarely

in

the context of <term> dialog systems </term>

<term> machine learning techniques </term> .

In

this paper , we address the problem of

reported more than 99 % <term> accuracy </term>

in

both <term> language identification </term>

<term> top human-ranked sentence plan </term> .

In

this paper , we compare the relative effects

interesting information piece would be found	in	a <term> large database </term> . Traditional	#50 The question is, however, how an interesting information piece would be found in a large database.
automatic detection of those activities	in	meeting situation and everyday rejoinders	#119 This paper addresses the problem of the automatic detection of those activities in meeting situation and everyday rejoinders.
obtained . To support engaging human users	in	<term> robust , mixed-initiative speech dialogue	#211 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.
</term> which reach beyond current capabilities	in	<term> dialogue systems </term> , the DARPA	#223 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.
all Communicator participants are using .	In	this presentation , we describe the features	#253 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. In this presentation, we describe the features of and requirements for a genuinely useful software infrastructure for this purpose.
infrastructure </term> for this purpose .	In	this paper we show how two standard outputs	#274 In this presentation, we describe the features of and requirements for a genuinely useful software infrastructure for this purpose. In this paper we show how two standard outputs from information extraction (IE) systems - named entity annotations and scenario templates - can be used to enhance access to text collections via a standard text browser.
We describe how this information is used	in	a <term> prototype system </term> designed	#320 We describe how this information is used in a prototype system designed to support information workers' access to a pharmaceutical news archive as part of their industry watch function.
systems </term> . This , the first experiment	in	a series of experiments , looks at the <term>	#614 This, the first experiment in a series of experiments, looks at the intelligibility of MT output.
native from non-native language essays </term>	in	less than 100 <term> words </term> . Even more	#642 A language learning experiment showed that assessors can differentiate native from non-native language essaysin less than 100 words.
preliminary analysis of the factors involved	in	the decision making process will be presented	#770 The results of this experiment, along with a preliminary analysis of the factors involved in the decision making process will be presented here.
complete . We have demonstrated this capability	in	several field exercises with the Marines	#892 We have demonstrated this capability in several field exercises with the Marines and are currently developing applications of this technology in new domains.
developing applications of this technology	in	new domains . Recent advances in <term> Automatic	#907 We have demonstrated this capability in several field exercises with the Marines and are currently developing applications of this technology in new domains.
technology in new domains . Recent advances	in	<term> Automatic Speech Recognition technology	#913 Recent advances in Automatic Speech Recognition technology have put the goal of naturally sounding dialog systems within reach.
generation community </term> , though rarely	in	the context of <term> dialog systems </term>	#988 The issue of system response to users has been extensively studied by the natural language generation community, though rarely in the context of dialog systems.
dialog systems </term> . We show how research	in	<term> generation </term> can be adapted to	#999 We show how research in generation can be adapted to dialog systems, and how the high cost of hand-crafting knowledge-based generation systems can be overcome by employing machine learning techniques.
<term> machine learning techniques </term> .	In	this paper , we address the problem of	#1027 We show how research in generation can be adapted to dialog systems, and how the high cost of hand-crafting knowledge-based generation systems can be overcome by employing machine learning techniques. In this paper, we address the problem of combining several language models (LMs).
</term> . We describe our use of this approach	in	numerous fielded user studies conducted	#1230 We describe our use of this approach in numerous fielded user studies conducted with the U.S. military.
reported more than 99 % <term> accuracy </term>	in	both <term> language identification </term>	#1285 Our algorithm reported more than 99% accuracyin both language identification and key prediction.
into one or more <term> sentences </term> .	In	this paper , we present <term> SPoT </term>	#1335 Sentence planning is a set of inter-related but distinct tasks, one of which is sentence scoping, i.e. the choice of syntactic structure for elementary speech acts and the decision of how to combine them into one or more sentences. In this paper, we present SPoT, a sentence planner, and a new methodology for automatically training SPoT on the basis of feedback provided by human judges.
<term> top human-ranked sentence plan </term> .	In	this paper , we compare the relative effects	#1461 We show that the trained SPR learns to select a sentence plan whose rating on average is only 5% worse than the top human-ranked sentence plan. In this paper, we compare the relative effects of segment order, segmentation and segment contiguity on the retrieval performance of a translation memory system.


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