Abstract
This paper presents the NLPTEA 2018 shared task for Chinese Grammatical Error Diagnosis (CGED) which seeks to identify grammatical error types, their range of occurrence and recommended corrections within sentences written by learners of Chinese as foreign language. We describe the task definition, data preparation, performance metrics, and evaluation results. Of the 20 teams registered for this shared task, 13 teams developed the system and submitted a total of 32 runs. Progress in system performances was obviously, reaching F1 of 36.12% in position level and 25.27% in correction level. All data sets with gold standards and scoring scripts are made publicly available to researchers.- Anthology ID:
- W18-3706
- Volume:
- Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications
- Month:
- July
- Year:
- 2018
- Address:
- Melbourne, Australia
- Editors:
- Yuen-Hsien Tseng, Hsin-Hsi Chen, Vincent Ng, Mamoru Komachi
- Venue:
- NLP-TEA
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 42–51
- Language:
- URL:
- https://aclanthology.org/W18-3706
- DOI:
- 10.18653/v1/W18-3706
- Cite (ACL):
- Gaoqi Rao, Qi Gong, Baolin Zhang, and Endong Xun. 2018. Overview of NLPTEA-2018 Share Task Chinese Grammatical Error Diagnosis. In Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications, pages 42–51, Melbourne, Australia. Association for Computational Linguistics.
- Cite (Informal):
- Overview of NLPTEA-2018 Share Task Chinese Grammatical Error Diagnosis (Rao et al., NLP-TEA 2018)
- PDF:
- https://preview.aclanthology.org/ingest-2024-clasp/W18-3706.pdf