@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.",
}