Evaluating the Performance of Chinese Multi-Label Grammatical Error Detection Using Deep Neural Networks

Tzu Mi Lin, Chao Yi Chen, Lung Hao Lee, Yuen Hsien Tseng*

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

In this paper, we describe the process of building a benchmark data set for Chinese multi-label grammatical error detection tasks, comparing the performance of 10 representative neural network models. Experimental results reveal that no matter which deep learning model is used, the performance is still limited which confirms the difficulty of the multi-label detection task. Our constructed datasets and evaluation results will be publicly released on the GitHub repository (https://github.com/NCUEE-NLPLab/CMLGED) to promote further research to facilitate technology-enhanced Chinese learning.

原文英語
主出版物標題30th International Conference on Computers in Education Conference, ICCE 2022 - Proceedings
編輯Sridhar Iyer, Ju-Ling Shih, Ju-Ling Shih, Weiqin Chen, Weiqin Chen, Mas Nida MD Khambari, Mouna Denden, Rwitajit Majumbar, Liliana Cuesta Medina, Shitanshu Mishra, Sahana Murthy, Patcharin Panjaburee, Daner Sun
發行者Asia-Pacific Society for Computers in Education
頁面524-526
頁數3
ISBN(電子)9789869721493
出版狀態已發佈 - 2022 11月 28
事件30th International Conference on Computers in Education Conference, ICCE 2022 - Kuala Lumpur, 马来西亚
持續時間: 2022 11月 282022 12月 2

出版系列

名字30th International Conference on Computers in Education Conference, ICCE 2022 - Proceedings
1

會議

會議30th International Conference on Computers in Education Conference, ICCE 2022
國家/地區马来西亚
城市Kuala Lumpur
期間2022/11/282022/12/02

ASJC Scopus subject areas

  • 電腦科學(雜項)
  • 教育

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