@inproceedings{zeldes-etal-2019-disrpt,
title = "The {DISRPT} 2019 Shared Task on Elementary Discourse Unit Segmentation and Connective Detection",
author = "Zeldes, Amir and
Das, Debopam and
Maziero, Erick Galani and
Antonio, Juliano and
Iruskieta, Mikel",
editor = "Zeldes, Amir and
Das, Debopam and
Galani, Erick Maziero and
Antonio, Juliano Desiderato and
Iruskieta, Mikel",
booktitle = "Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019",
month = jun,
year = "2019",
address = "Minneapolis, MN",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-2713",
doi = "10.18653/v1/W19-2713",
pages = "97--104",
abstract = "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 submitted systems and report on system performance on each task for both annotated and plain-tokenized versions of the data.",
}
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<abstract>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 submitted systems and report on system performance on each task for both annotated and plain-tokenized versions of the data.</abstract>
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%0 Conference Proceedings
%T The DISRPT 2019 Shared Task on Elementary Discourse Unit Segmentation and Connective Detection
%A Zeldes, Amir
%A Das, Debopam
%A Maziero, Erick Galani
%A Antonio, Juliano
%A Iruskieta, Mikel
%Y Zeldes, Amir
%Y Das, Debopam
%Y Galani, Erick Maziero
%Y Antonio, Juliano Desiderato
%Y Iruskieta, Mikel
%S Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, MN
%F zeldes-etal-2019-disrpt
%X 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 submitted systems and report on system performance on each task for both annotated and plain-tokenized versions of the data.
%R 10.18653/v1/W19-2713
%U https://aclanthology.org/W19-2713
%U https://doi.org/10.18653/v1/W19-2713
%P 97-104
Markdown (Informal)
[The DISRPT 2019 Shared Task on Elementary Discourse Unit Segmentation and Connective Detection](https://aclanthology.org/W19-2713) (Zeldes et al., NAACL 2019)
ACL