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        <title>CYUT-III Team Chinese Grammatical Error Diagnosis System Report in NLPTEA-2018 CGED Shared Task</title>
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        <namePart type="given">Shih-Hung</namePart>
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        <namePart type="given">Jun-Wei</namePart>
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        <namePart type="given">Liang-Pu</namePart>
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        <namePart type="given">Ping-Che</namePart>
        <namePart type="family">Yang</namePart>
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            <title>Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications</title>
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            <namePart type="given">Yuen-Hsien</namePart>
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            <namePart type="given">Hsin-Hsi</namePart>
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    <abstract>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.</abstract>
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%0 Conference Proceedings
%T CYUT-III Team Chinese Grammatical Error Diagnosis System Report in NLPTEA-2018 CGED Shared Task
%A Wu, Shih-Hung
%A Wang, Jun-Wei
%A Chen, Liang-Pu
%A Yang, Ping-Che
%Y Tseng, Yuen-Hsien
%Y Chen, Hsin-Hsi
%Y Ng, Vincent
%Y Komachi, Mamoru
%S Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F wu-etal-2018-cyut
%X 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.
%R 10.18653/v1/W18-3729
%U https://aclanthology.org/W18-3729
%U https://doi.org/10.18653/v1/W18-3729
%P 199-202

Markdown (Informal)

[CYUT-III Team Chinese Grammatical Error Diagnosis System Report in NLPTEA-2018 CGED Shared Task](https://aclanthology.org/W18-3729) (Wu et al., NLP-TEA 2018)

• CYUT-III Team Chinese Grammatical Error Diagnosis System Report in NLPTEA-2018 CGED Shared Task (Wu et al., NLP-TEA 2018)

ACL

• Shih-Hung Wu, Jun-Wei Wang, Liang-Pu Chen, and Ping-Che Yang. 2018. CYUT-III Team Chinese Grammatical Error Diagnosis System Report in NLPTEA-2018 CGED Shared Task. In Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications, pages 199–202, Melbourne, Australia. Association for Computational Linguistics.