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Conference Papers Year : 2019

Aligning Discourse and Argumentation Structures using Subtrees and Redescription Mining

Abstract

In this paper, we investigate similarities between discourse and argumentation structures by aligning subtrees in a corpus containing both annotations. Contrary to previous works, we focus on comparing sub-structures and not only relation matches. Using data mining techniques , we show that discourse and argumen-tation most often align well, and the double annotation allows to derive a mapping between structures. Moreover, this approach enables the study of similarities between discourse structures and differences in their expressive power.
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Dates and versions

hal-02165048 , version 1 (25-06-2019)

Identifiers

  • HAL Id : hal-02165048 , version 1

Cite

Laurine Huber, Yannick Toussaint, Charlotte Roze, Mathilde Dargnat, Chloé Braud. Aligning Discourse and Argumentation Structures using Subtrees and Redescription Mining. 6th International Workshop on Argument Mining, Aug 2019, Florence, Italy. ⟨hal-02165048⟩
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