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</term> , the <term> theory </term> specifies	how	different information in <term> memory </term>	#11951 Unlike logic, the theory specifies how different information in memory affects the certainty of the conclusions drawn.
standard <term> text browser </term> . We describe	how	this information is used in a <term> prototype	#315 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.
inference types </term> . The paper also discusses	how	<term> memory </term> is structured in multiple	#12022 The paper also discusses how memory is structured in multiple ways to support the different inference types, and how the information found in memory determines which inference types are triggered.
context of <term> dialog systems </term> . We show	how	research in <term> generation </term> can be	#997 We show how research in generation can be adapted to dialog systems, and how the high cost of hand-crafting knowledge-based generation systems can be overcome by employing machine learning techniques.
results are presented , that demonstrate	how	the proposed <term> method </term> allows to	#7421 Experimental results are presented, that demonstrate how the proposed method allows to better generalize from the training data.
array-based data structure </term> . We show	how	<term> sampling </term> can be used to reduce	#9180 We show how sampling can be used to reduce the retrieval time by orders of magnitude with no loss in translation quality.
set representation </term> . We investigate	how	sets of individually high-precision <term>	#20071 We investigate how sets of individually high-precision rules can result in a low precision when used together, and develop some theory about these probably-correct rules.
probabilities </term> is unstable . Finally , we show	how	this new <term> tagger </term> achieves state-of-the-art	#5599 Finally, we show how this new tagger achieves state-of-the-art results in a supervised, non-training intensive framework.
Discourse processing </term> requires recognizing	how	the <term> utterances </term> of the <term> discourse	#14330 Discourse processing requires recognizing how the utterances of the discourse aggregate into segments, recognizing the intentions expressed in the discourse and the relationships among intentions, and tracking the discourse through the operation of the mechanisms associated with attentional state.
</term> are limited . In this paper , we show	how	<term> training data </term> can be supplemented	#3034 In this paper, we show how training data can be supplemented with text from the web filtered to match the style and/or topic of the target recognition task, but also that it is possible to get bigger performance gains from the data by using class-dependent interpolation of N-grams.
classifiers </term> . First , we investigate	how	well the <term> addressee </term> of a <term>	#10257 First, we investigate how well the addressee of a dialogue act can be predicted based on gaze, utterance and conversational context features.
different <term> inference types </term> , and	how	the information found in <term> memory </term>	#12037 The paper also discusses how memory is structured in multiple ways to support the different inference types, and how the information found in memory determines which inference types are triggered.
broad range of <term> texts </term> to show	how	the distribution of <term> demonstrative	#15202 We examine a broad range of texts to show how the distribution of demonstrative forms and functions is genre dependent.
documentation . The question is , however ,	how	an interesting information piece would	#42 The question is, however, how an interesting information piece would be found in a large database.
Zernik87 ] . Second , we show in this paper	how	a <term> lexical hierarchy </term> is used	#15875 Second, we show in this paper how a lexical hierarchy is used in predicting new linguistic concepts.
pragmatics processing </term> , we describe	how	the method of <term> abductive inference </term>	#17494 For pragmatics processing, we describe how the method of abductive inference is inherently robust, in that an interpretation is always possible, so that in the absence of the required world knowledge, performance degrades gracefully.
<term> monolingual UCG </term> , we will show	how	the two can be integrated , and present	#15140 After introducing this approach to MT system design, and the basics of monolingual UCG, we will show how the two can be integrated, and present an example from an implemented bi-directional Engllsh-Spanish fragment.
time </term> . Furthermore , we will show	how	some <term> evaluation measures </term> can	#10390 Furthermore, we will show how some evaluation measures can be improved by the introduction of word-dependent substitution costs.
for this purpose . In this paper we show	how	two standard outputs from <term> information	#279 In this paper we show how two standard outputs from information extraction (IE) systems - named entity annotations and scenario templates - can be used to enhance access to text collections via a standard text browser.
characterization of what a <term> user model </term> is and	how	it can be used . The types of information	#16061 It begins with a characterization of what a user model is and how it can be used.


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