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	</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.
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.
	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.
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.
other,7-1-H05-1005,bq	</term> . In this paper , we use the <term>	information	redundancy </term> in <term> multilingual input	#7132 In this paper, we use theinformation redundancy in multilingual input to correct errors in machine translation and thus improve the quality of multilingual summaries.
	involves manual determination of whether an	information	nugget appears in a system 's response	#7561 Until now, the only way to assess the correctness of answers to such questions involves manual determination of whether an information nugget appears in a system's response.
other,12-3-I05-5003,bq	</term> which leverages <term> part of speech	information	</term> of the <term> words </term> contributing	#8382 We also introduce a novel classification method based on PER which leverages part of speech information of the words contributing to the word matches and non-matches in the sentence.
other,1-3-I05-6011,bq	<term> referents </term> . This <term> referential	information	</term> is vital for resolving <term> zero	#8603 This referential information is vital for resolving zero pronouns and improving machine translation outputs.
other,11-1-P05-1034,bq	translation </term> that combines <term> syntactic	information	</term> in the <term> source language </term>	#9213 We describe a novel approach to statistical machine translation that combines syntactic information in the source language with recent advances in phrasal translation.


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