The DISRPT 2019 Shared Task on Elementary Discourse UnitSegmentation and Connective Detection

In 2019, we organized the first iteration of a shared task dedicated to the underlying units used in discourse parsing across formalisms: the DISRPT Shared Task on Elementary Discourse Unit Segmentation and Connective Detection. In this paper we review the data included in the task, which cover 2.6 million manually annotated tokens from 15 datasets in 10 languages, survey and compare submit-ted systems and report on system performance on each task for both annotated and plain-tokenized versions of the data.
Egileak (ixakideak): 
Amir Zeldes, Debopam Das, Erick G. Maziero, Juliano D. Antonio, Mikel Iruskieta
Fitxategi publikoak: 
Artikuluaren erreferentzia: 
Proceedings of Discourse Relation Parsing and Treebanking (DISRPT2019), pages 144–152. Minneapolis, MN, June 6, 2019. ACL

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