TMU-NLP System Using BERT-based Pre-trained Model to the NLP-TEA CGED Shared Task 2020

2020-12-01 · AACL (NLP-TEA) 2020 12 · Hongfei Wang, Mamoru Komachi

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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Tasks

Decoder Grammatical Error Correction

CYUT Team Chinese Grammatical Error Diagnosis System Report in NLPTEA-2020 CGED Shared Task

2020-12-01 · AACL (NLP-TEA) 2020 12 · Shih-Hung Wu, JunWei Wang

This paper reports our Chinese Grammatical Error Diagnosis system in the NLPTEA-2020 CGED shared task. In 2020, we sent two runs with two approaches. The first one is a combination of conditional random fields (CRF) and …

Deep Learning

Chinese Grammatical Errors Diagnosis System Based on BERT at NLPTEA-2020 CGED Shared Task

2020-12-01 · AACL (NLP-TEA) 2020 12 · Hongying Zan, Yangchao Han, Haotian Huang, Yingjie Yan 외

In the process of learning Chinese, second language learners may have various grammatical errors due to the negative transfer of native language. This paper describes our submission to the NLPTEA 2020 shared task on CGED…

Grammatical Error Detection

BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis

2020-12-01 · AACL (NLP-TEA) 2020 12 · Deng Liang, Chen Zheng, Lei Guo, Xin Cui 외

This paper presents the UNIPUS-Flaubert team’s hybrid system for the NLPTEA 2020 shared task of Chinese Grammatical Error Diagnosis (CGED). As a challenging NLP task, CGED has attracted increasing attention recently and …

Grammatical Error Correction Machine Translation NMT Translation

Chinese Grammatical Error Diagnosis with Long Short-Term Memory Networks

2016-12-01 · WS 2016 12 · Bo Zheng, Wanxiang Che, Jiang Guo, Ting Liu

Grammatical error diagnosis is an important task in natural language processing. This paper introduces our Chinese Grammatical Error Diagnosis (CGED) system in the NLP-TEA-3 shared task for CGED. The CGED system can diag…

Information Retrieval Language Modeling Language Modelling Named Entity Recognition (NER)+1

A Hybrid System for NLPTEA-2020 CGED Shared Task

2020-12-01 · AACL (NLP-TEA) 2020 12 · Meiyuan Fang, Kai Fu, JiPing Wang, Yang Liu 외

This paper introduces our system at NLPTEA2020 shared task for CGED, which is able to detect, locate, identify and correct grammatical errors in Chinese writings. The system consists of three components: GED, GEC, and po…