Concordance

Query which 108 (5,035.2 per million)

	Several extensions of this basic idea are being discussed and/or evaluated : Similar to activities one can define subsets of larger <term> database </term> and detect those automatically which is shown on a large <term> database </term> of <term> TV shows </term> .	#152 Several extensions of this basic idea are being discussed and/or evaluated: Similar to activities one can define subsets of larger database and detect those automatically which is shown on a large database of TV shows.
	To support engaging human users in robust , <term> mixed-initiative speech dialogue interactions </term> which reach beyond current capabilities in <term> dialogue systems </term> , the <term> DARPA Communicator program </term> [ 1 ] is funding the development of a <term> distributed message-passing infrastructure </term> for <term> dialogue systems </term> which all <term> Communicator </term> participants are using .	#218 To support engaging human users in robust, mixed-initiative speech dialogue interactionswhich 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.
	To support engaging human users in robust , <term> mixed-initiative speech dialogue interactions </term> which reach beyond current capabilities in <term> dialogue systems </term> , the <term> DARPA Communicator program </term> [ 1 ] is funding the development of a <term> distributed message-passing infrastructure </term> for <term> dialogue systems </term> which all <term> Communicator </term> participants are using .	#246 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 systemswhich all Communicator participants are using.
	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> .	#359 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.
	Even more illuminating was the factors on which the <term> assessors </term> made their decisions .	#655 Even more illuminating was the factors on which the assessors made their decisions.
	Additionally , they were asked to mark the <term> word </term> at which they made this decision .	#749 Additionally, they were asked to mark the word at which they made this decision.
	<term> Sentence planning </term> is a set of inter-related but distinct tasks , one of which is <term> sentence scoping </term> , i.e. the choice of <term> syntactic structure </term> for elementary <term> speech acts </term> and the decision of how to combine them into one or more <term> sentences </term> .	#1306 Sentence planning is a set of inter-related but distinct tasks, one of which is sentence scoping, i.e. the choice of syntactic structure for elementary speech acts and the decision of how to combine them into one or more sentences.
	The theoretical study of the <term> range concatenation grammar [ RCG ] formalism </term> has revealed many attractive properties which may be used in <term> NLP </term> .	#1614 The theoretical study of the range concatenation grammar [RCG] formalism has revealed many attractive properties which may be used in NLP.
	The <term> non-deterministic parsing choices </term> of the <term> main parser </term> for a <term> language L </term> are directed by a <term> guide </term> which uses the <term> shared derivation forest </term> output by a prior <term> RCL parser </term> for a suitable <term> superset of L.	#1717 The non-deterministic parsing choices of the main parser for a language L are directed by a guidewhich uses the shared derivation forest output by a prior RCL parser for a suitable superset of L.
	This paper presents a <term> formal analysis </term> for a large class of <term> words </term> called <term> alternative markers </term> , which includes <term> other ( than ) </term> , <term> such ( as ) </term> , and <term> besides </term> .	#1831 This paper presents a formal analysis for a large class of words called alternative markers, which includes other (than), such (as), and besides.
	Here we emphasize the connection to <term> Montague semantics </term> which can be viewed as a <term> formal computation </term> of the <term> logical form </term> .	#1999 Here we emphasize the connection to Montague semanticswhich can be viewed as a formal computation of the logical form.
	These <term> models </term> , which are built from <term> shallow linguistic features </term> of <term> questions </term> , are employed to predict target variables which represent a <term> user 's informational goals </term> .	#2146 These models, which are built from shallow linguistic features of questions, are employed to predict target variables which represent a user's informational goals.
	These <term> models </term> , which are built from <term> shallow linguistic features </term> of <term> questions </term> , are employed to predict target variables which represent a <term> user 's informational goals </term> .	#2162 These models, which are built from shallow linguistic features of questions, are employed to predict target variables which represent a user's informational goals.
	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> .	#2334 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 answeringwhich is based on combining the results from different answering agents searching for answers in multiple corpora.
	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> .	#2592 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 also introduce a new way of automatically identifying <term> predicate argument structures </term> , which is central to our <term> IE paradigm </term> .	#3742 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 .	#3907 We describe a new approach which involves clustering subcategorization frame (SCF) distributions using the Information Bottleneck and nearest neighbour methods.
	A novel <term> evaluation scheme </term> is proposed which accounts for the effect of <term> polysemy </term> on the <term> clusters </term> , offering us a good insight into the potential and limitations of <term> semantically classifying </term><term> undisambiguated SCF data </term> .	#3945 A novel evaluation scheme is proposed which accounts for the effect of polysemy on the clusters, offering us a good insight into the potential and limitations of semantically classifying undisambiguated SCF data.
	In this paper , we evaluate an approach to automatically acquire <term> sense-tagged training data </term> from <term> English-Chinese parallel corpora </term> , which are then used for disambiguating the <term> nouns </term> in the <term> SENSEVAL-2 English lexical sample task </term> .	#4840 In this paper, we evaluate an approach to automatically acquire sense-tagged training data from English-Chinese parallel corpora, which are then used for disambiguating the nouns in the SENSEVAL-2 English lexical sample task.
	The results show that the <term> features </term> in terms of which we formulate our <term> heuristic principles </term> have significant <term> predictive power </term> , and that <term> rules </term> that closely resemble our <term> Horn clauses </term> can be learnt automatically from these <term> features </term> .	#5249 The results show that the features in terms of which we formulate our heuristic principles have significant predictive power, and that rules that closely resemble our Horn clauses can be learnt automatically from these features.


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