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        <title>TMU-NLP System Using BERT-based Pre-trained Model to the NLP-TEA CGED Shared Task 2020</title>
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            <title>Proceedings of the 6th Workshop on Natural Language Processing Techniques for Educational Applications</title>
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    <abstract>In this paper, we introduce our system for NLPTEA 2020 shared task of Chinese Grammatical Error Diagnosis (CGED). In recent years, pre-trained models have been extensively studied, and several downstream tasks have benefited from their utilization. In this study, we treat the grammar error diagnosis (GED) task as a grammatical error correction (GEC) problem and propose a method that incorporates a pre-trained model into an encoder-decoder model to solve this problem.</abstract>
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%0 Conference Proceedings
%T TMU-NLP System Using BERT-based Pre-trained Model to the NLP-TEA CGED Shared Task 2020
%A Wang, Hongfei
%A Komachi, Mamoru
%S Proceedings of the 6th Workshop on Natural Language Processing Techniques for Educational Applications
%D 2020
%8 dec
%I Association for Computational Linguistics
%C Suzhou, China
%F wang-komachi-2020-tmu
%X In this paper, we introduce our system for NLPTEA 2020 shared task of Chinese Grammatical Error Diagnosis (CGED). In recent years, pre-trained models have been extensively studied, and several downstream tasks have benefited from their utilization. In this study, we treat the grammar error diagnosis (GED) task as a grammatical error correction (GEC) problem and propose a method that incorporates a pre-trained model into an encoder-decoder model to solve this problem.
%U https://aclanthology.org/2020.nlptea-1.11
%P 87-90

Markdown (Informal)

[TMU-NLP System Using BERT-based Pre-trained Model to the NLP-TEA CGED Shared Task 2020](https://aclanthology.org/2020.nlptea-1.11) (Wang & Komachi, NLP-TEA 2020)

• TMU-NLP System Using BERT-based Pre-trained Model to the NLP-TEA CGED Shared Task 2020 (Wang & Komachi, NLP-TEA 2020)

ACL

• Hongfei Wang and Mamoru Komachi. 2020. TMU-NLP System Using BERT-based Pre-trained Model to the NLP-TEA CGED Shared Task 2020. In Proceedings of the 6th Workshop on Natural Language Processing Techniques for Educational Applications, pages 87–90, Suzhou, China. Association for Computational Linguistics.