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Recognizing Textual Parallelisms with edit distance and similarity degree (2006)  (Make Corrections)  
Marie Gu egan and Nicolas Hernandez LIMSI-CNRS Universite de Paris-Sud,...



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Abstract: Detection of discourse structure is crucial in many text-based applications. This paper presents an original framework for describing textual parallelism which allows us to generalize various discourse phenomena and to propose a unique method to recognize them. With this prospect, we discuss several methods in order to identify the most appropriate one for the problem, and evaluate them based on a manually annotated corpus. (Update)

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BibTeX entry:   (Update)

@misc{ egan-recognizing,
  author = "Marie Gu Egan",
  title = "Recognizing Textual Parallelisms with edit distance and similarity degree",
  url = "citeseer.ist.psu.edu/747313.html" }
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148   Reference to abstract objects in discourse (context) - Asher - 1993
83   Statistical parsing with a contextfree grammar and word stat.. - Charniak - 1997
76   Simple fast algorithms for the editing distance between tree.. (context) - Zhang, Shasha - 1989
12   A theory of parallelism and the case of vp ellipsis - Hobbs, Kehler - 1997
8   Automatic Discovery of Logical Document Structure (context) - Summers - 1998
3   RNA Secondary Structure Comparison: Exact Analysis of the Zh.. - Dulucq, Tichit - 2003
3   A linguistic approach to some parameters of layout: A study .. (context) - Luc, Mojahid et al. - 1999
1   L'encadrement du discours - univers (context) - Charolles - 1997
1   Detection automatique de structures fines du discours (context) - Hernandez, Grau - 2005
1   Recognizing Textual Entailment with Tree Edit Distance Algor.. (context) - Kouylekov, Magnini - 2005
1   Identification of topic-focus chains (context) - Kruijff-Korbayova, Kruijff - 1996
1   Parallelism in coordination as an instance of syntactic prim.. - Dubey, Sturt et al. - 2005

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