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Proceedings Year : 2023

The Shared Task on Discourse Relation Parsing and Treebanking

Abstract

Welcome to the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023). DISRPT is a shared task on discourse processing across formalisms, for a variety of languages and genres, with three subtasks this year: Task 1: discourse segmentation, Task 2: connective detection, and Task 3: relation classification. We provided training, development, and test datasets from all available languages in RST, SDRT, PDTB and DEP (discourse dependencies), using a uniform format. Because different corpora, languages, and frameworks use different guidelines, the shared task aims at promoting the design of flexible methods for dealing with various guidelines, to propose a joint evaluation of discourse parsing approaches and to push forward the discussion on converging standards for discourse units and relations. DISRPT 2023 is part of the CODI 2023 workshop, a venue that brings together researchers working on all aspects of discourse in Computational Linguistics and NLP. We hope that the next CODI workshops will also feature shared tasks on discourse analysis, as the domain needs more research promoting thorough and diversified evaluation as well as more consistent standards and expansions to languages and text types not yet covered in the field. We thank the CODI organizers, and the reviewers who helped improve the papers and reproduce the participating systems. Finally we would like to thank the ACL 2023 workshop chairs Eduardo Blanco, Yang Feng, and Annie Louis who organized the ACL workshops program
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Dates and versions

hal-04310765 , version 1 (27-11-2023)

Identifiers

  • HAL Id : hal-04310765 , version 1

Cite

Chloé Braud, Yang Janet Liu, Eleni Metheniti, Philippe Muller, Laura Rivière, et al.. The Shared Task on Discourse Relation Parsing and Treebanking: Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023). ACL: Association for Computational Linguistics, pp.1--50, 2023, 978-1-959429-75-3. ⟨hal-04310765⟩
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