Concordance

Query in 338 (15,758.3 per million)

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 </term> 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	robust , <term> 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 <term>	#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.
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.
applications of this <term> technology </term>	in	<term> new domains </term> . Recent advances	#907 We have demonstrated this capability in several field exercises with the Marines and are currently developing applications of this technologyin new domains.
<term> new domains </term> . 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> . We describe our use of this approach	in	numerous fielded <term> user studies </term>	#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.
character - and word-segmented data </term> ,	in	combination with a range of <term> local	#1513 We take a selection of both bag-of-words and segment order-sensitive string comparison methods, and run each over both character- and word-segmented data, in combination with a range of local segment contiguity models (in the form of N-grams).
<term> local segment contiguity models </term> (	in	the form of <term> N-grams </term> ) . Over	#1524 We take a selection of both bag-of-words and segment order-sensitive string comparison methods, and run each over both character- and word-segmented data, in combination with a range of local segment contiguity models ( in the form of N-grams).
<term> word N-gram models </term> . Further ,	in	their optimum <term> configuration </term>	#1561 Further, in their optimum configuration, bag-of-words methods are shown to be equivalent to segment order-sensitive methods in terms of retrieval accuracy, but much faster.
<term> segment order-sensitive methods </term>	in	terms of <term> retrieval accuracy </term>	#1577 Further,in their optimum configuration, bag-of-words methods are shown to be equivalent to segment order-sensitive methodsin terms of retrieval accuracy, but much faster.
attractive properties which may be used	in	<term> NLP </term> . In particular , <term> range	#1618 The theoretical study of the range concatenation grammar [RCG] formalism has revealed many attractive properties which may be used in NLP.


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