IJCNLP-2017 Task 1: Chinese Grammatical Error Diagnosis

Gaoqi Rao, Baolin Zhang, Endong Xun, Lung-Hao Lee


Abstract
This paper presents the IJCNLP 2017 shared task for Chinese grammatical error diagnosis (CGED) which seeks to identify grammatical error types and their range of occurrence within sentences written by learners of Chinese as foreign language. We describe the task definition, data preparation, performance metrics, and evaluation results. Of the 13 teams registered for this shared task, 5 teams developed the system and submitted a total of 13 runs. We expected this evaluation campaign could lead to the development of more advanced NLP techniques for educational applications, especially for Chinese error detection. All data sets with gold standards and scoring scripts are made publicly available to researchers.
Anthology ID:
I17-4001
Volume:
Proceedings of the IJCNLP 2017, Shared Tasks
Month:
December
Year:
2017
Address:
Taipei, Taiwan
Venue:
IJCNLP
SIG:
Publisher:
Asian Federation of Natural Language Processing
Note:
Pages:
1–8
Language:
URL:
https://aclanthology.org/I17-4001
DOI:
Bibkey:
Cite (ACL):
Gaoqi Rao, Baolin Zhang, Endong Xun, and Lung-Hao Lee. 2017. IJCNLP-2017 Task 1: Chinese Grammatical Error Diagnosis. In Proceedings of the IJCNLP 2017, Shared Tasks, pages 1–8, Taipei, Taiwan. Asian Federation of Natural Language Processing.
Cite (Informal):
IJCNLP-2017 Task 1: Chinese Grammatical Error Diagnosis (Rao et al., IJCNLP 2017)
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PDF:
https://aclanthology.org/I17-4001.pdf