Concordance

Query results 58 (2,704.1 per million)

	Despite the small size of the <term> databases </term> used some results about the effectiveness of these <term> indices </term> can be obtained .	#195 Despite the small size of the databases used some results about the effectiveness of these indices can be obtained.
	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> .	#347 We also report results of a preliminary, qualitative user evaluation of the system, which while broadly positive indicates further work needs to be done on the interface to make users aware of the increased potential of IE-enhanced text browsers.
	The results of this experiment , along with a preliminary analysis of the factors involved in the decision making process will be presented here .	#756 The results of this experiment, along with a preliminary analysis of the factors involved in the decision making process will be presented here.
	We provide experimental results that clearly show the need for a <term> dynamic language model combination </term> to improve the <term> performance </term> further .	#1134 We provide experimental results that clearly show the need for a dynamic language model combination to improve the performance further.
other,32-5-P01-1007,bq	The results of a practical </term><term> evaluation </term> of this <term> method </term> on a <term> wide coverage English grammar </term> are given .	#1736 The results of a practical evaluation of this method on a wide coverage English grammar are given.
	Motivated by the success of <term> ensemble methods </term> in <term> machine learning </term> and other areas of <term> natural language processing </term> , we developed a <term> multi-strategy and multi-source approach to question answering </term> which is based on combining the results from different <term> answering agents </term> searching for <term> answers </term> in multiple <term> corpora </term> .	#2340 Motivated by the success of ensemble methods in machine learning and other areas of natural language processing, we developed a multi-strategy and multi-source approach to question answering which is based on combining the results from different answering agents searching for answers in multiple corpora.
	We present our <term> multi-level answer resolution algorithm </term> that combines results from the <term> answering agents </term> at the <term> question , passage , and/or answer levels </term> .	#2381 We present our multi-level answer resolution algorithm that combines results from the answering agents at the question, passage, and/or answer levels.
	Our empirical results , which hold for all examined <term> language pairs </term> , suggest that the highest levels of performance can be obtained through relatively simple means : <term> heuristic learning </term> of <term> phrase translations </term> from <term> word-based alignments </term> and <term> lexical weighting </term> of <term> phrase translations </term> .	#2590 Our empirical results, which hold for all examined language pairs, suggest that the highest levels of performance can be obtained through relatively simple means: heuristic learning of phrase translations from word-based alignments and lexical weighting of phrase translations.
	We present an implementation of the <term> model </term> based on <term> finite-state models </term> , demonstrate the <term> model </term> 's ability to significantly reduce <term> character and word error rate </term> , and provide evaluation results involving <term> automatic extraction </term> of <term> translation lexicons </term> from <term> printed text </term> .	#2773 We present an implementation of the model based on finite-state models, demonstrate the model's ability to significantly reduce character and word error rate, and provide evaluation results involving automatic extraction of translation lexicons from printed text.
	The results show that it can provide a significant improvement in <term> alignment quality </term> .	#3272 The results show that it can provide a significant improvement in alignment quality.
	We show experimental results on <term> block selection criteria </term> based on <term> unigram </term> counts and <term> phrase </term> length .	#3464 We show experimental results on block selection criteria based on unigram counts and phrase length.
	The experimental results prove our claim that accurate <term> predicate-argument structures </term> enable high quality <term> IE </term> results .	#3775 The experimental results prove our claim that accurate predicate-argument structures enable high quality IE results.
	The experimental results prove our claim that accurate <term> predicate-argument structures </term> enable high quality <term> IE </term> results .	#3787 The experimental results prove our claim that accurate predicate-argument structures enable high quality IEresults.
	The results of the experiments demonstrate that the <term> HDAG Kernel </term> is superior to other <term> kernel functions </term> and <term> baseline methods </term> .	#3865 The results of the experiments demonstrate that the HDAG Kernel is superior to other kernel functions and baseline methods.
	Experimental results validate our hypothesis .	#4121 Experimental results validate our hypothesis.
	By holding multiple <term> candidates </term> for <term> understanding </term> results and resolving the <term> ambiguity </term> as the <term> dialogue </term> progresses , the <term> discourse understanding accuracy </term> can be improved .	#4198 By holding multiple candidates for understandingresults and resolving the ambiguity as the dialogue progresses, the discourse understanding accuracy can be improved.
	Experiment results have shown that a <term> system </term> that exploits the proposed <term> method </term> performs sufficiently and that holding multiple <term> candidates </term> for <term> understanding </term> results is effective .	#4255 Experiment results have shown that a system that exploits the proposed method performs sufficiently and that holding multiple candidates for understanding results is effective.
	Experiment results have shown that a <term> system </term> that exploits the proposed <term> method </term> performs sufficiently and that holding multiple <term> candidates </term> for <term> understanding </term> results is effective .	#4275 Experiment results have shown that a system that exploits the proposed method performs sufficiently and that holding multiple candidates for understandingresults is effective.
	Examples and results will be given for <term> Arabic </term> , but the approach is applicable to any <term> language </term> that needs <term> affix removal </term> .	#4512 Examples and results will be given for Arabic, but the approach is applicable to any language that needs affix removal.
	Our <term> resource-frugal approach </term> results in 87.5 % <term> agreement </term> with a state of the art , proprietary <term> Arabic stemmer </term> built using <term> rules </term> , <term> affix lists </term> , and <term> human annotated text </term> , in addition to an <term> unsupervised component </term> .	#4535 Our resource-frugal approachresults in 87.5% agreement with a state of the art, proprietary Arabic stemmer built using rules, affix lists, and human annotated text, in addition to an unsupervised component.


	in Help