Back to Search Start Over

Mapping different rhetorical relation annotations: A proposal

Authors :
Maite Taboada
Farah Benamara
Centre National de la Recherche Scientifique - CNRS (FRANCE)
Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université Toulouse 1 Capitole - UT1 (FRANCE)
Simon Fraser University (CANADA)
MEthodes et ingénierie des Langues, des Ontologies et du DIscours (IRIT-MELODI)
Institut de recherche en informatique de Toulouse (IRIT)
Université Toulouse 1 Capitole (UT1)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3)
Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP)
Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1)
Université Fédérale Toulouse Midi-Pyrénées
Université Toulouse III - Paul Sabatier (UT3)
Simon Fraser University (SFU.ca)
Institut National Polytechnique de Toulouse - INPT (FRANCE)
Source :
Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, Fourth Joint Conference on Lexical and Computational Semantics (*SEM 2015), Fourth Joint Conference on Lexical and Computational Semantics (*SEM 2015), Jun 2015, Denver, United States. pp.147-152, SEM@NAACL-HLT
Publication Year :
2016
Publisher :
The SEM 2015 Organizing Committee, 2016.

Abstract

International audience; Annotation efforts have resulted in the availability of a number of corpora with rhetorical relation information. The corpora, unfortunately, are annotated under different theoretical approaches and have different hierarchie of relations. In addition, new sets of rhetorical relations have been proposed to accounfor language variation. The types of relations, however, tend to overlap or be related in specific ways. We believe that differences across approaches are minimal, and a unified set of relations that works across languages is possible. This paper details a new taxonomy of relations organized in four top level-classes with a total of 26 relations. We propose a mapping between existing annotations and show that our taxonomy is robust across theories, and can be applied to multiple languages.

Details

Language :
English
Database :
OpenAIRE
Journal :
Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, Fourth Joint Conference on Lexical and Computational Semantics (*SEM 2015), Fourth Joint Conference on Lexical and Computational Semantics (*SEM 2015), Jun 2015, Denver, United States. pp.147-152, SEM@NAACL-HLT
Accession number :
edsair.doi.dedup.....4784a49eaa4b7494a716881e4c32a0e2