@inproceedings{wang-komachi-2020-tmu,
title = "{TMU}-{NLP} System Using {BERT}-based Pre-trained Model to the {NLP}-{TEA} {CGED} Shared Task 2020",
author = "Wang, Hongfei and
Komachi, Mamoru",
editor = "YANG, Erhong and
XUN, Endong and
ZHANG, Baolin and
RAO, Gaoqi",
booktitle = "Proceedings of the 6th Workshop on Natural Language Processing Techniques for Educational Applications",
month = dec,
year = "2020",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.nlptea-1.11",
pages = "87--90",
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.",
}
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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
%Y YANG, Erhong
%Y XUN, Endong
%Y ZHANG, Baolin
%Y RAO, Gaoqi
%S Proceedings of the 6th Workshop on Natural Language Processing Techniques for Educational Applications
%D 2020
%8 December
%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)
ACL