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Hits 41 – 60 of 106

41
Penn Discourse Treebank Version 2.0 ...
Prasad, Rashmi; Lee, Alan; Dinesh, Nikhil. - : Linguistic Data Consortium, 2008
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42
Breaking News: Changing Attitudes and Practices
In: Computational linguistics. - Cambridge, Mass. : MIT Press 33 (2007) 4, 607-612
OLC Linguistik
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43
Toponym Resolution in Text
BASE
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44
The Penn Discourse Treebank 2.0 Annotation Manual
In: IRCS Technical Reports Series (2007)
BASE
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45
Computing discourse semantics : the predicate-argument semantics of discourse connectives in D-LTAG
In: Journal of semantics. - Oxford : Univ. Press 23 (2006) 1, 55-106
BLLDB
OLC Linguistik
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46
Attribution and its annotation in the Penn Discourse TreeBank
In: Traitement automatique des langues. - Paris : ATALA 47 (2006) 2, 43-64
BLLDB
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47
A short introduction to the Penn Discourse TreeBank
In: Treebanking for discourse and speech. - Frederiksberg : Samfundslitteratur (2006), 9-28
BLLDB
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48
Computing Discourse Semantics: The Predicate-Argument Semantics of Discourse Connectives in D-LTAG
Forbes-Riley, Katherine; Webber, Bonnie; Joshi, Aravind. - : Oxford University Press, 2006
Abstract: D-LTAG is a discourse-level extension of lexicalized tree-adjoining grammar (LTAG), in which discourse syntax is projected by different types of discourse connectives and discourse interpretation is a product of compositional rules, anaphora resolution, and inference. In this paper, we present a D-LTAG extension of ongoing work on an LTAG syntax-semantic interface. First, we show how predicate-argument semantics are computed for standard, ‘structural’ discourse connectives. These are connectives that retrieve their semantic arguments from their D-LTAG syntactic tree. Then we focus on discourse connectives that occur syntactically as (usually) fronted adverbials. These connectives do not retrieve both their semantic arguments from a single D-LTAG syntactic tree. Rather, their predicate-argument structure and interpretation distinguish them from structural connectives as well as from other adverbials that do not function as discourse connectives. The unique contribution of this paper lies in showing how compositional rules and anaphora resolution interact within the D-LTAG syntax-semantic interface to yield their semantic interpretations, with multi-component syntactic trees sometimes being required.
Keyword: Articles
URL: https://doi.org/10.1093/jos/ffh032
http://jos.oxfordjournals.org/cgi/content/short/23/1/55
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49
Computing Discourse Semantics: The Predicate-Argument Semantics of Discourse Connectives in D-LTAG
Forbes-Riley, Katherine; Webber, Bonnie; Joshi, Aravind. - : Oxford University Press, 2005
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50
Capturing negation in question answering systems
Gavriel, Maria. - 2005
BASE
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51
Answering comparison questions : what's the difference
Scheible, Silke. - 2005
BASE
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52
2003 Rumelhart Prize special issue honoring Aravind K. Joshi
Frank, Robert (Mitarb.); Stabler, Edward P. (Mitarb.); Ferreira, Fernanda (Mitarb.)...
In: Cognitive science. - Hoboken, NJ : Wiley-Blackwell 28 (2004) 5, 633-840
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53
Answer comparison: analysis of relationships between answers to 'where'-questions
In: UK Special Interest Group for Computational Linguistics. Proceedings of the ... Annual Colloquium for the UK Special Interest Group for Computational Linguistics. - [Wechselnde Verlagsorte] 7 (2004), 42-49
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54
Resolving Other-Anaphora
Nygren Modjeska, Natalia. - : University of Edinburgh. College of Science and Engineering. School of Informatics., 2004
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55
Anaphora and Discourse Structure
In: Computational Linguistics 29 (2003), 545-587
IDS Konnektoren im Deutschen
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56
D-LTAG System: Discourse Parsing with a Lexicalized Tree-Adjoining Grammar
In: Journal of logic, language and information. - Dordrecht [u.a.] : Kluwer 12 (2003) 3, 261-280
OLC Linguistik
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57
Anaphora and Discourse Structure
In: Computational linguistics. - Cambridge, Mass. : MIT Press 29 (2003) 4, 545-588
OLC Linguistik
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58
Anaphora and discourse structure
In: Computational linguistics. - Cambridge, Mass. : MIT Press 29 (2003) 4, 545-587
BLLDB
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59
Discourse and information structure
In: Journal of logic, language and information. - Dordrecht [u.a.] : Kluwer 12 (2003) 3, 249-374
BLLDB
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60
A lexicalized approach to low-level discourse
In: Determination of information and tenor in texts. - Amsterdam : Stichting Neerlandistiek [u.a.] (2003), 1-15
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