Concordance

Query new 52 (2,424.4 per million)

	( iii ) <term> Rapid system development </term> and porting to new <term> domains </term> via <term> knowledge-based automated acquisition of grammars </term> .	#506 (iii) Rapid system development and porting to new domains via knowledge-based automated acquisition of grammars.
	<term> Listen-Communicate-Show ( LCS ) </term> is a new paradigm for <term> human interaction with data sources </term> .	#786 Listen-Communicate-Show (LCS) is a new paradigm for human interaction with data sources.
other,21-7-H01-1049,bq	We have demonstrated this capability in several field exercises with the Marines and are currently developing applications of this <term> technology </term> in <term> new domains </term> .	#908 We have demonstrated this capability in several field exercises with the Marines and are currently developing applications of this technology innew domains.
	However , the improved <term> speech recognition </term> has brought to light a new problem : as <term> dialog systems </term> understand more of what the <term> user </term> tells them , they need to be more sophisticated at responding to the <term> user </term> .	#941 However, the improved speech recognition has brought to light a new problem: as dialog systems understand more of what the user tells them, they need to be more sophisticated at responding to the user.
	In this paper , we present <term> SPoT </term> , a <term> sentence planner </term> , and a new methodology for automatically training <term> SPoT </term> on the basis of <term> feedback </term> provided by <term> human judges </term> .	#1349 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.
	We propose a new <term> phrase-based translation model </term> and <term> decoding algorithm </term> that enables us to evaluate and compare several , previously proposed <term> phrase-based translation models </term> .	#2542 We propose a new phrase-based translation model and decoding algorithm that enables us to evaluate and compare several, previously proposed phrase-based translation models.
	We present a new <term> part-of-speech tagger </term> that demonstrates the following ideas : ( i ) explicit use of both preceding and following <term> tag contexts </term> via a <term> dependency network representation </term> , ( ii ) broad use of <term> lexical features </term> , including <term> jointly conditioning on multiple consecutive words </term> , ( iii ) effective use of <term> priors </term> in <term> conditional loglinear models </term> , and ( iv ) fine-grained modeling of <term> unknown word features </term> .	#2912 We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following tag contexts via a dependency network representation, (ii) broad use of lexical features, including jointly conditioning on multiple consecutive words, (iii) effective use of priors in conditional loglinear models, and (iv) fine-grained modeling of unknown word features.
	We also introduce a new way of automatically identifying <term> predicate argument structures </term> , which is central to our <term> IE paradigm </term> .	#3733 We also introduce a new way of automatically identifying predicate argument structures, which is central to our IE paradigm.
	We describe a new approach which involves clustering <term> subcategorization frame ( SCF ) </term> distributions using the <term> Information Bottleneck </term> and <term> nearest neighbour </term> methods .	#3905 We describe a new approach which involves clustering subcategorization frame (SCF) distributions using the Information Bottleneck and nearest neighbour methods.
tech,17-1-P03-1030,bq	<term> Link detection </term> has been regarded as a core technology for the <term> Topic Detection and Tracking tasks </term> of <term> new event detection </term> .	#4059 Link detection has been regarded as a core technology for the Topic Detection and Tracking tasks ofnew event detection.
tech,9-2-P03-1030,bq	In this paper we formulate <term> story link detection </term> and <term> new event detection </term> as <term> information retrieval task </term> and hypothesize on the impact of <term> precision </term> and <term> recall </term> on both <term> systems </term> .	#4072 In this paper we formulate story link detection andnew event detection as information retrieval task and hypothesize on the impact of precision and recall on both systems.
	Motivated by these arguments , we introduce a number of new performance enhancing techniques including <term> part of speech tagging </term> , new <term> similarity measures </term> and expanded <term> stop lists </term> .	#4102 Motivated by these arguments, we introduce a number of new performance enhancing techniques including part of speech tagging, new similarity measures and expanded stop lists.
	Motivated by these arguments , we introduce a number of new performance enhancing techniques including <term> part of speech tagging </term> , new <term> similarity measures </term> and expanded <term> stop lists </term> .	#4112 Motivated by these arguments, we introduce a number of new performance enhancing techniques including part of speech tagging, new similarity measures and expanded stop lists.
	To improve the <term> segmentation </term><term> accuracy </term> , we use an <term> unsupervised algorithm </term> for automatically acquiring new <term> stems </term> from a 155 million <term> word </term><term> unsegmented corpus </term> , and re-estimate the <term> model parameters </term> with the expanded <term> vocabulary </term> and <term> training corpus </term> .	#4720 To improve the segmentation accuracy, we use an unsupervised algorithm for automatically acquiring new stems from a 155 million word unsegmented corpus, and re-estimate the model parameters with the expanded vocabulary and training corpus.
	We suggest a new goal and evaluation criterion for <term> word similarity measures </term> .	#5280 We suggest a new goal and evaluation criterion for word similarity measures.
	The new criterion - <term> meaning-entailing substitutability </term> - fits the needs of <term> semantic-oriented NLP applications </term> and can be evaluated directly ( independent of an <term> application </term> ) at a good level of <term> human agreement </term> .	#5291 The new criterion - meaning-entailing substitutability - fits the needs of semantic-oriented NLP applications and can be evaluated directly (independent of an application) at a good level of human agreement.
	We present a new <term> HMM tagger </term> that exploits <term> context </term> on both sides of a <term> word </term> to be tagged , and evaluate it in both the <term> unsupervised and supervised case </term> .	#5499 We present a new HMM tagger that exploits context on both sides of a word to be tagged, and evaluate it in both the unsupervised and supervised case.
	Finally , we show how this new <term> tagger </term> achieves state-of-the-art results in a <term> supervised , non-training intensive framework </term> .	#5601 Finally, we show how this new tagger achieves state-of-the-art results in a supervised, non-training intensive framework.
	This paper proposes a new methodology to improve the <term> accuracy </term> of a <term> term aggregation system </term> using each author 's text as a coherent <term> corpus </term> .	#6118 This paper proposes a new methodology to improve the accuracy of a term aggregation system using each author's text as a coherent corpus.
	We describe a new system that enhances <term> Criterion </term> 's capability , by evaluating multiple aspects of <term> coherence </term> in <term> essays </term> .	#6673 We describe a new system that enhances Criterion's capability, by evaluating multiple aspects of coherence in essays.


	in Help