The DISRPT 2019 Shared Task on Elementary Discourse Unit Segmentation and Connective Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10427070" target="_blank" >RIV/00216208:11320/19:10427070 - isvavai.cz</a>
Result on the web
<a href="https://www.aclweb.org/anthology/W19-2713" target="_blank" >https://www.aclweb.org/anthology/W19-2713</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The DISRPT 2019 Shared Task on Elementary Discourse Unit Segmentation and Connective Detection
Original language description
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.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů