The DISRPT 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification

In 2023, the third iteration of the DISRPT Shared Task (Discourse Relation Parsing and Treebanking) was held, dedicated to the underlying units used in discourse parsing across formalisms. Following the success of the 2019 and 2021 tasks on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification, this iteration has added 10 new corpora, including 2 new languages (Thai and Italian) and 3 discourse treebanks annotated in the discourse dependency representation in addition to the previously included frameworks: RST, SDRT, and PDTB. In this paper, we review the data included in DISRPT 2023, which covers 26 datasets across 13 languages, survey and compare submitted systems, and report on system performance on each task for both treebanked and plain-tokenized versions of the data.

Domaines

Informatique et langage [cs.CL]

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2023.disrpt-1.1.pdf (346.56 Ko)

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Chloé Braud : Connectez-vous pour contacter le contributeur

https://hal.science/hal-04310770

Soumis le : lundi 27 novembre 2023-20:54:36

Dernière modification le : jeudi 30 novembre 2023-03:54:33

Dates et versions

hal-04310770 , version 1 (27-11-2023)

Identifiants

HAL Id : hal-04310770 , version 1
DOI : 10.18653/v1/2023.disrpt-1.1

Citer

Chloé Braud, Yang Janet Liu, Eleni Metheniti, Philippe Muller, Laura Rivière, et al.. The DISRPT 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification. 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023), Jul 2023, Toronto, Canada. pp.1-21, ⟨10.18653/v1/2023.disrpt-1.1⟩. ⟨hal-04310770⟩

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