Chinese Grammatical Error Detection Using Adversarial ELECTRA Transformers

Lung Hao Lee, Man Chen Hung, Chao Yi Chen, Rou An Chen, Yuen Hsien Tseng

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

We explore transformer-based neural networks for Chinese grammatical error detection. The TOCFL learner corpus is used to measure the model capability of indicating whether a sentence contains errors or not. Experimental results show that ELECTRA transformers which take into account both transformer architecture and adversarial learning technique can achieve promising effectiveness with an improvement of F1-score.

原文???core.languages.en_GB???
主出版物標題29th International Conference on Computers in Education Conference, ICCE 2021 - Proceedings
編輯Maria Mercedes T. Rodrigo, Sridhar Iyer, Antonija Mitrovic, Hercy N. H. Cheng, Dan Kohen-Vacs, Camillia Matuk, Agnieszka Palalas, Ramkumar Rajenran, Kazuhisa Seta, Jingyun Wang
發行者Asia-Pacific Society for Computers in Education
頁面111-113
頁數3
ISBN(電子)9789869721479
出版狀態已出版 - 22 11月 2021
事件29th International Conference on Computers in Education Conference, ICCE 2021 - Virtual, Online
持續時間: 22 11月 202126 11月 2021

出版系列

名字29th International Conference on Computers in Education Conference, ICCE 2021 - Proceedings
1

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???event.eventtypes.event.conference???29th International Conference on Computers in Education Conference, ICCE 2021
城市Virtual, Online
期間22/11/2126/11/21

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