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Conference papers

Expressivity and comparison of models of discourse structure

Venant Antoine 1 Nicholas Asher 1 Philippe Muller 1 Pascal Denis 2 Stergos Afantenos 1
1 IRIT-MELODI - MEthodes et ingénierie des Langues, des Ontologies et du DIscours
IRIT - Institut de recherche en informatique de Toulouse
2 MAGNET - Machine Learning in Information Networks
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : Several discourse annotated corpora now exist for NLP exploitation. Nevertheless, it is not clear how these annotations compare: are they incompatible, incomparable, or do they share some inter- pretations? In this paper, we relate three types of discourse annotation as found in: (i) the RST Tree Bank corpus, (ii) SDRT corpora DISCOR and ANNODIS, and (iii) dependency tree structures. The latter have not yet been used in actual annotations, but represent elementary substructures which are interesting for automated parsing. Specifically, we discuss two ways of interpreting RST trees by taking discourse relations as semantics operators, one is fully specified, the other one underspecified. We also provide an underspecified semantic interpretation of dependency trees. We define trans- lations between RST and DT that preserve these underspecified interpretations. On this basis, we design similarity measures that quantify the loss of information implied by these translations. Over- all, these translations and metrics provide a unified framework that will hopefully enable us to take advantage of the various existing discourse annotation data that are available for automated tasks.
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Contributor : Pascal Denis <>
Submitted on : Tuesday, June 25, 2013 - 10:31:17 AM
Last modification on : Monday, December 28, 2020 - 10:24:01 AM


  • HAL Id : hal-00838260, version 1


Venant Antoine, Nicholas Asher, Philippe Muller, Pascal Denis, Stergos Afantenos. Expressivity and comparison of models of discourse structure. Special Interest Group on Discourse and Dialogue, Aug 2013, Metz, France. ⟨hal-00838260⟩



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