Concordance

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other,17-4-H92-1045,bq	two or more times in a <term> well-written	discourse	</term> , it is extremely likely that they	#19245 That is, if a polysemous word such as sentence appears two or more times in a well-written discourse, it is extremely likely that they will all share the same sense.
other,13-10-J86-3001,bq	processing of <term> utterances </term> in a <term>	discourse	</term> . <term> Discourse processing </term>	#14324 This theory provides a framework for describing the processing of utterances in adiscourse.
other,20-1-J86-3001,bq	</term> and <term> processing </term> in <term>	discourse	</term> . In this theory , <term> discourse	#14100 In this paper we explore a new theory of discourse structure that stresses the role of purpose and processing indiscourse.
other,23-6-J86-3001,bq	that are salient at each point of the <term>	discourse	</term> . The distinction among these components	#14236 The attentional state, being dynamic, records the objects, properties, and relations that are salient at each point of thediscourse.
other,9-11-J86-3001,bq	how the <term> utterances </term> of the <term>	discourse	</term> aggregate into <term> segments </term>	#14335 Discourse processing requires recognizing how the utterances of thediscourse 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.
other,14-12-J86-3001,bq	</term> the role of information from the <term>	discourse	</term> and from the <term> participants </term>	#14382 This processing description specifies in these recognition tasks the role of information from thediscourse and from the participants' knowledge of the domain.
other,20-11-J86-3001,bq	<term> intentions </term> expressed in the <term>	discourse	</term> and the relationships among <term>	#14346 Discourse processing requires recognizing how the utterances of the discourse aggregate into segments, recognizing the intentions expressed in thediscourse and the relationships among intentions, and tracking the discourse through the operation of the mechanisms associated with attentional state.
other,3-9-J86-3001,bq	discourses </term> . Various properties of <term>	discourse	</term> are described , and explanations	#14290 Various properties ofdiscourse are described, and explanations for the behaviour of cue phrases, referring expressions, and interruptions are explored.
other,6-3-A88-1001,bq	</term> and <term> feedback </term> about the <term>	discourse	</term> are enabled . The <term> interface </term>	#14903 Deictic reference and feedback about thediscourse are enabled.
other,20-7-H92-1045,bq	</term> that did not make use of the <term>	discourse	constraint </term> . This paper describes	#19330 In addition, it could also be used to help evaluate disambiguation algorithms that did not make use of thediscourse constraint.
other,12-3-H92-1045,bq	completion , we observed a very strong <term>	discourse	</term> effect . That is , if a <term> polysemous	#19224 As this work was nearing completion, we observed a very strongdiscourse effect.
other,22-4-N04-1024,bq	question </term> and relatedness between <term>	discourse	elements </term> . <term> Intra-sentential	#6727 A support vector machine uses these features to capture breakdowns in coherence due to relatedness to the essay question and relatedness betweendiscourse elements.
other,15-1-N04-1024,bq	<term> writing </term> with <term> essay-based	discourse	elements </term> ( e.g. , <term> thesis statements	#6661 CriterionSM Online Essay Evaluation Service includes a capability that labels sentences in student writing with essay-based discourse elements (e.g., thesis statements).
other,8-3-J86-3001,bq	</term> consists of segments of the <term>	discourse	</term> into which the <term> utterances </term>	#14164 The linguistic structure consists of segments of thediscourse into which the utterances naturally aggregate.
other,20-5-H92-1045,bq	share <term> sense </term> in the same <term>	discourse	</term> is extremely strong ( 98 % ) . This	#19280 This paper describes an experiment which confirmed this hypothesis and found that the tendency to share sense in the samediscourse is extremely strong (98%).
other,14-7-J86-3001,bq	provide an adequate explanation of such <term>	discourse	phenomena </term> as <term> cue phrases </term>	#14252 The distinction among these components is essential to provide an adequate explanation of suchdiscourse phenomena as cue phrases, referring expressions, and interruptions.
tech,20-1-C88-1044,bq	discusses implications for current <term>	discourse	processing algorithms </term> . We examine	#15189 This paper presents necessary and sufficient conditions for the use of demonstrative expressions in English and discusses implications for currentdiscourse processing algorithms.
tech,11-1-C92-1052,bq	</term> are defined and a method for <term>	discourse	segmentation </term> primarily based on <term>	#17762 In this paper discourse segments are defined and a method fordiscourse segmentation primarily based on abduction of temporal relations between segments is proposed.
other,3-1-C92-1052,bq	are ever introduced . In this paper <term>	discourse	segments </term> are defined and a method	#17754 In this paperdiscourse segments are defined and a method for discourse segmentation primarily based on abduction of temporal relations between segments is proposed.
other,20-3-C04-1128,bq	upon <term> lexical similarity </term> of <term>	discourse	segments </term> for <term> question-answer	#6302 We show that various features based on the structure of email-threads can be used to improve upon lexical similarity ofdiscourse segments for question-answer pairing.


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