Concordance

Query discourse 30 (1,398.7 per million)

tech,4-1-P03-1031,bq	This paper concerns the <term> discourse understanding process </term> in <term> spoken dialogue systems </term> .	#4130 This paper concerns thediscourse understanding process in spoken dialogue systems.
measure(ment),17-4-P03-1031,bq	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 .	#4209 By holding multiple candidates for understanding results and resolving the ambiguity as the dialogue progresses, thediscourse understanding accuracy can be improved.
tech,16-6-P03-1031,bq	Unlike conventional methods that use <term> hand-crafted rules </term> , the proposed <term> method </term> enables easy design of the <term> discourse understanding process </term> .	#4250 Unlike conventional methods that use hand-crafted rules, the proposed method enables easy design of thediscourse understanding process.
other,20-3-C04-1128,bq	We show that various <term> features </term> based on the structure of <term> email-threads </term> can be used to improve upon <term> lexical similarity </term> of <term> discourse segments </term> for <term> question-answer pairing </term> .	#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.
other,15-1-N04-1024,bq	<term> CriterionSM Online Essay Evaluation Service </term> includes a capability that labels <term> sentences </term> in student <term> writing </term> with <term> essay-based discourse elements </term> ( e.g. , <term> thesis statements </term> ) .	#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,12-3-N04-1024,bq	This system identifies <term> features </term> of <term> sentences </term> based on <term> semantic similarity measures </term> and <term> discourse structure </term> .	#6702 This system identifies features of sentences based on semantic similarity measures anddiscourse structure.
other,22-4-N04-1024,bq	A <term> support vector machine </term> uses these <term> features </term> to capture <term> breakdowns in coherence </term> due to relatedness to the <term> essay question </term> and relatedness between <term> discourse elements </term> .	#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,7-1-J86-3001,bq	In this paper we explore a new <term> theory of discourse structure </term> that stresses the role of <term> purpose </term> and <term> processing </term> in <term> discourse </term> .	#14089 In this paper we explore a new theory of discourse structure that stresses the role of purpose and processing in discourse.
other,20-1-J86-3001,bq	In this paper we explore a new <term> theory of discourse structure </term> that stresses the role of <term> purpose </term> and <term> processing </term> in <term> discourse </term> .	#14100 In this paper we explore a new theory of discourse structure that stresses the role of purpose and processing indiscourse.
other,4-2-J86-3001,bq	In this theory , <term> discourse structure </term> is composed of three separate but interrelated components : the structure of the sequence of <term> utterances </term> ( called the <term> linguistic structure </term> ) , a structure of <term> purposes </term> ( called the <term> intentional structure </term> ) , and the state of <term> focus of attention </term> ( called the <term> attentional state </term> ) .	#14106 In this theory,discourse structure is composed of three separate but interrelated components: the structure of the sequence of utterances (called the linguistic structure), a structure of purposes (called the intentional structure), and the state of focus of attention (called the attentional state).
other,8-3-J86-3001,bq	The <term> linguistic structure </term> consists of segments of the <term> discourse </term> into which the <term> utterances </term> naturally aggregate .	#14164 The linguistic structure consists of segments of thediscourse into which the utterances naturally aggregate.
other,16-5-J86-3001,bq	The <term> attentional state </term> is an abstraction of the <term> focus of attention </term> of the <term> participants </term> as the <term> discourse </term> unfolds .	#14210 The attentional state is an abstraction of the focus of attention of the participants as thediscourse unfolds.
other,23-6-J86-3001,bq	The <term> attentional state </term> , being dynamic , records the objects , properties , and relations that are salient at each point of the <term> discourse </term> .	#14236 The attentional state, being dynamic, records the objects, properties, and relations that are salient at each point of thediscourse.
other,14-7-J86-3001,bq	The distinction among these components is essential to provide an adequate explanation of such <term> discourse phenomena </term> as <term> cue phrases </term> , <term> referring expressions </term> , and <term> interruptions </term> .	#14252 The distinction among these components is essential to provide an adequate explanation of suchdiscourse phenomena as cue phrases, referring expressions, and interruptions.
other,3-9-J86-3001,bq	Various properties of <term> discourse </term> are described , and explanations for the behaviour of <term> cue phrases </term> , <term> referring expressions </term> , and <term> interruptions </term> are explored .	#14290 Various properties ofdiscourse are described, and explanations for the behaviour of cue phrases, referring expressions, and interruptions are explored.
other,13-10-J86-3001,bq	This <term> theory </term> provides a framework for describing the processing of <term> utterances </term> in a <term> discourse </term> .	#14324 This theory provides a framework for describing the processing of utterances in adiscourse.
other,9-11-J86-3001,bq	<term> Discourse processing </term> requires recognizing how the <term> utterances </term> of the <term> discourse </term> aggregate into <term> segments </term> , recognizing the <term> intentions </term> expressed in the <term> discourse </term> and the relationships among <term> intentions </term> , and tracking the <term> discourse </term> through the operation of the mechanisms associated with <term> attentional state </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,20-11-J86-3001,bq	<term> Discourse processing </term> requires recognizing how the <term> utterances </term> of the <term> discourse </term> aggregate into <term> segments </term> , recognizing the <term> intentions </term> expressed in the <term> discourse </term> and the relationships among <term> intentions </term> , and tracking the <term> discourse </term> through the operation of the mechanisms associated with <term> attentional state </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,30-11-J86-3001,bq	<term> Discourse processing </term> requires recognizing how the <term> utterances </term> of the <term> discourse </term> aggregate into <term> segments </term> , recognizing the <term> intentions </term> expressed in the <term> discourse </term> and the relationships among <term> intentions </term> , and tracking the <term> discourse </term> through the operation of the mechanisms associated with <term> attentional state </term> .	#14356 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 thediscourse through the operation of the mechanisms associated with attentional state.
other,14-12-J86-3001,bq	This processing description specifies in these <term> recognition tasks </term> the role of information from the <term> discourse </term> and from the <term> participants </term> ' knowledge of the domain .	#14382 This processing description specifies in these recognition tasks the role of information from thediscourse and from the participants' knowledge of the domain.


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