The BEA-2019 Shared Task on Grammatical Error Correction

The BEA-2019 Shared Task on Grammatical Error Correction
复制标题

DOI:
10.18653/v1/w19-4406
复制
发表时间:
2019-08
期刊:
--
影响因子:
--
通讯作者:
Christopher Bryant;Mariano Felice;Øistein E. Andersen;Ted Briscoe
Christopher Bryant;Mariano Felice;Øistein E. Andersen;Ted Briscoe
中科院分区:
其他
文献类型:
--
作者:
Christopher Bryant;Mariano Felice;Øistein E. Andersen;Ted Briscoe

文献摘要

被引文献

相似文献

本文报告了2019年语法错误纠正(GEC)共享任务。与CoNLL-2014共享任务一样,参与者需要纠正测试数据中的所有类型的错误。2019年共享任务的主要贡献之一是引入了一个新的数据集,即Write&Improve+LOCNESS语料库,它代表了更广泛的母语和学习者英语水平和能力。另一个贡献是引入了轨道,控制参与者可用的注释数据量。系统根据ERRANT F_0.5进行评估,这使我们能够报告更广泛的性能统计数据。比赛在Codalab上举办,并对盲测集的进一步提交开放。
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.