Yanran Zhou


2023

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System Report for CCL23-Eval Task 7: Chinese Grammatical Error Diagnosis Based on Model Fusion
Yanmei Ma | Laiqi Wang | Zhenghua Chen | Yanran Zhou | Ya Han | Jie Zhang
Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)

“The purpose of the Chinese Grammatical Error Diagnosis task is to identify the positions andtypes of grammar errors in Chinese texts. In Track 2 of CCL2023-CLTC, Chinese grammarerrors are classified into four categories: Redundant Words, Missing Words, Word Selection, andWord Ordering Errors. We conducted data filtering, model research, and model fine-tuning insequence. Then, we performed weighted fusion of models based on perplexity calculations andintroduced various post-processing strategies. As a result, the performance of the model on thetest set, measured by COM, reached 49.12.”