@inproceedings{braud-etal-2023-disrpt,
title = "The {DISRPT} 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification",
author = "Braud, Chlo{\'e} and
Liu, Yang Janet and
Metheniti, Eleni and
Muller, Philippe and
Rivi{\`e}re, Laura and
Rutherford, Attapol and
Zeldes, Amir",
editor = "Braud, Chlo{\'e} and
Liu, Yang Janet and
Metheniti, Eleni and
Muller, Philippe and
Rivi{\`e}re, Laura and
Rutherford, Attapol and
Zeldes, Amir",
booktitle = "Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "The Association for Computational Linguistics",
url = "https://aclanthology.org/2023.disrpt-1.1",
doi = "10.18653/v1/2023.disrpt-1.1",
pages = "1--21",
abstract = "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 2019and 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 the Shared Task, which covers 26 datasets across 13 languages, survey and compare submitted systems, and report on system performance on each task for both annotated and plain-tokenized versions of the data.",
}
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%0 Conference Proceedings
%T The DISRPT 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification
%A Braud, Chloé
%A Liu, Yang Janet
%A Metheniti, Eleni
%A Muller, Philippe
%A Rivière, Laura
%A Rutherford, Attapol
%A Zeldes, Amir
%Y Braud, Chloé
%Y Liu, Yang Janet
%Y Metheniti, Eleni
%Y Muller, Philippe
%Y Rivière, Laura
%Y Rutherford, Attapol
%Y Zeldes, Amir
%S Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023)
%D 2023
%8 July
%I The Association for Computational Linguistics
%C Toronto, Canada
%F braud-etal-2023-disrpt
%X 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 2019and 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 the Shared Task, which covers 26 datasets across 13 languages, survey and compare submitted systems, and report on system performance on each task for both annotated and plain-tokenized versions of the data.
%R 10.18653/v1/2023.disrpt-1.1
%U https://aclanthology.org/2023.disrpt-1.1
%U https://doi.org/10.18653/v1/2023.disrpt-1.1
%P 1-21
Markdown (Informal)
[The DISRPT 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification](https://aclanthology.org/2023.disrpt-1.1) (Braud et al., DISRPT 2023)
ACL
- Chloé Braud, Yang Janet Liu, Eleni Metheniti, Philippe Muller, Laura Rivière, Attapol Rutherford, and Amir Zeldes. 2023. The DISRPT 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification. In Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023), pages 1–21, Toronto, Canada. The Association for Computational Linguistics.