Jun-Wei Wang


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基於Seq2Seq模型的中文文法錯誤診斷系統(A Chinese Grammatical Error Diagnosis System Based on Seq2Seq Model)
Jun-Wei Wang | Sheng-Lun Chien | Yi-Kun Chen | Shih-Hung Wu
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)


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CYUT-III Team Chinese Grammatical Error Diagnosis System Report in NLPTEA-2018 CGED Shared Task
Shih-Hung Wu | Jun-Wei Wang | Liang-Pu Chen | Ping-Che Yang
Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications

This paper reports how we build a Chinese Grammatical Error Diagnosis system in the NLPTEA-2018 CGED shared task. In 2018, we sent three runs with three different approaches. The first one is a pattern-based approach by frequent error pattern matching. The second one is a sequential labelling approach by conditional random fields (CRF). The third one is a rewriting approach by sequence to sequence (seq2seq) model. The three approaches have different properties that aim to optimize different performance metrics and the formal run results show the differences as we expected.