Concordance

Query information 51 (2,377.7 per million)

	</term> is ubiquitous and carries important	information	yet it is also time consuming to document	#7 Oral communication is ubiquitous and carries important information yet it is also time consuming to document.
	question is , however , how an interesting	information	piece would be found in a <term> large database	#45 The question is, however, how an interesting information piece would be found in a large database.
tech,1-4-H01-1001,bq	large database </term> . Traditional <term>	information	retrieval techniques </term> use a <term> histogram	#56 Traditionalinformation retrieval techniques use a histogram of keywords as the document representation but oral communication may offer additional indices such as the time and place of the rejoinder and the attendance.
tech,10-1-H01-1040,bq	show how two standard outputs from <term>	information	extraction ( IE ) systems </term> - <term>	#284 In this paper we show how two standard outputs frominformation extraction (IE) systems - named entity annotations and scenario templates - can be used to enhance access to text collections via a standard text browser.
	text browser </term> . We describe how this	information	is used in a <term> prototype system </term>	#317 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.
other,14-2-H01-1040,bq	prototype system </term> designed to support <term>	information	workers </term> ' access to a <term> pharmaceutical	#327 We describe how this information is used in a prototype system designed to supportinformation workers' access to a pharmaceutical news archive as part of their industry watch function.
	evaluation techniques </term> will provide	information	about both the <term> human language learning	#589 We believe that these evaluation techniques will provide information about both the human language learning process, the translation process and the development of machine translation systems.
other,16-2-H01-1049,bq	mediate between <term> users </term> and <term>	information	sources </term> . We have built and will	#811 We integrate a spoken language understanding system with intelligent mobile agents that mediate between users andinformation sources.
	their logistics system to place a supply or	information	request . The request is passed to a <term>	#844 Using LCS-Marine, tactical personnel can converse with their logistics system to place a supply or information request.
measure(ment),7-2-H01-1070,bq	rule-reduction algorithm </term> applying <term> mutual	information	</term> to reduce the <term> error-correction	#1270 The paper also proposes rule-reduction algorithm applying mutual information to reduce the error-correction rules.
	write a <term> topical report </term> , culling	information	from a large inflow of <term> multilingual	#3593 The TAP-XL Automated Analyst's Assistant is an application designed to help an English-speaking analyst write a topical report, culling information from a large inflow of multilingual, multimedia data.
tech,13-2-P03-1030,bq	<term> new event detection </term> as <term>	information	retrieval task </term> and hypothesize on	#4076 In this paper we formulate story link detection and new event detection asinformation retrieval task and hypothesize on the impact of precision and recall on both systems.
other,11-5-P03-1031,bq	ambiguity </term> based on <term> statistical	information	</term> obtained from <term> dialogue corpora	#4228 This paper proposes a method for resolving this ambiguity based on statistical information obtained from dialogue corpora.
tool,10-6-P03-1033,bq	</term> are implemented in <term> Kyoto city bus	information	system </term> that has been developed at	#4393 Dialogue strategies based on the user modeling are implemented in Kyoto city bus information system that has been developed at our laboratory.
tech,3-7-P03-1050,bq	Task-based evaluation </term> using <term> Arabic	information	retrieval </term> indicates an improvement	#4573 Task-based evaluation using Arabic information retrieval indicates an improvement of 22-38% in average precision over unstemmed text, and 96% of the performance of the proprietary stemmer above.
tech,19-1-P03-1068,bq	large-scale <term> acquisition of word-semantic	information	</term> , e.g. the construction of <term> domain-independent	#4954 We describe the ongoing construction of a large, semantically annotated corpus resource as reliable basis for the large-scale acquisition of word-semantic information, e.g. the construction of domain-independent lexica.
other,26-4-C04-1068,bq	coarse-level <term> clustering </term> and simple <term>	information	retrieval </term> . Our evaluation shows	#5477 We tested the clustering and filtering processes on electronic newsgroup discussions, and evaluated their performance by means of two experiments: coarse-level clustering and simpleinformation retrieval.
other,27-1-C04-1112,bq	maximum entropy ) </term> with <term> linguistic	information	</term> . Instead of building individual <term>	#6007 In this paper, we present a corpus-based supervised word sense disambiguation (WSD) system for Dutch which combines statistical classification (maximum entropy) with linguistic information.
other,12-3-N04-1022,bq	incorporate different levels of <term> linguistic	information	</term> from <term> word strings </term> , <term>	#6588 We describe a hierarchy of loss functions that incorporate different levels of linguistic information from word strings, word-to-word alignments from an MT system, and syntactic structure from parse-trees of source and target language sentences.
tech,1-4-N04-4028,bq	each <term> extracted field </term> . The <term>	information	extraction system </term> we evaluate is	#6812 Theinformation extraction system we evaluate is based on a linear-chain conditional random field (CRF), a probabilistic model which has performed well on information extraction tasks because of its ability to capture arbitrary, overlapping features of the input in a Markov model.


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