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

Chloé Braud, Yang Janet Liu, Eleni Metheniti, Philippe Muller, Laura Rivière, Attapol Rutherford, Amir Zeldes

Abstract:

In 2023, the third iteration of the DISRPT
Shared Task (Discourse Relation Parsing and
Treebanking) was held, dedicated to the un-
derlying units used in discourse parsing across
formalisms. Following the success of the 2019
and 2021 tasks on Elementary Discourse Unit
Segmentation, Connective Detection, and Re-
lation Classification, this iteration has added
10 new corpora, including 2 new languages
(Thai and Italian) and 3 discourse treebanks
annotated in the discourse dependency repre-
sentation 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 lan-
guages, survey and compare submitted systems,
and report on system performance on each task
for both treebanked and plain-tokenized ver-
sions of the data.