The BEA-2019 Shared Task on Grammatical Error Correction

Christopher Bryant, Mariano Felice, Øistein E. Andersen, Ted Briscoe

Abstract
This paper reports on the BEA-2019 Shared Task on Grammatical Error Correction (GEC). As with the CoNLL-2014 shared task, participants are required to correct all types of errors in test data. One of the main contributions of the BEA-2019 shared task is the introduction of a new dataset, the Write&Improve+LOCNESS corpus, which represents a wider range of native and learner English levels and abilities. Another contribution is the introduction of tracks, which control the amount of annotated data available to participants. Systems are evaluated in terms of ERRANT F_0.5, which allows us to report a much wider range of performance statistics. The competition was hosted on Codalab and remains open for further submissions on the blind test set.
Anthology ID:
W19-4406
Volume:
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
Month:
August
Year:
2019
Address:
Florence, Italy
Venue:
BEA
SIG:
SIGEDU
Publisher:
Association for Computational Linguistics
Note:
Pages:
52–75
Language:
URL:
https://aclanthology.org/W19-4406
DOI:
10.18653/v1/W19-4406
Bibkey:
Cite (ACL):
Christopher Bryant, Mariano Felice, Øistein E. Andersen, and Ted Briscoe. 2019. The BEA-2019 Shared Task on Grammatical Error Correction. In Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, pages 52–75, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
The BEA-2019 Shared Task on Grammatical Error Correction (Bryant et al., BEA 2019)
Copy Citation:
PDF:
https://preview.aclanthology.org/remove-xml-comments/W19-4406.pdf
Data
WI-LOCNESS, CoNLL-2014 Shared Task: Grammatical Error Correction, FCE
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