Data augmentation using pretrained models in japanese grammatical error correction

被引：0
|
作者：
Kato, Hideyoshi [1 ]
Okabe, Masaaki [2 ]
Kitano, Michiharu [3 ]
Yadohisa, Hiroshi [2 ]
机构：
[1] Marubeni Corporation, Japan
[2] Doshisha University, Japan
[3] JMDC Inc., Japan
来源：
Transactions of the Japanese Society for Artificial Intelligence | 2023年 / 38卷 / 04期
关键词：
Error correction;
D O I：
10.1527/tjsai.38-4_A-L41
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Mitigating Exposure Bias in Grammatical Error Correction with Data Augmentation and Reweighting
    Cao, Hannan
    Yang, Wenmian
    Ng, Hwee Tou
    [J]. 17TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, EACL 2023, 2023, : 2123 - 2135
  • [2] Stronger Baselines for Grammatical Error Correction Using a Pretrained Encoder-Decoder Model
    Katsumata, Satoru
    Komachi, Mamoru
    [J]. 1ST CONFERENCE OF THE ASIA-PACIFIC CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 10TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (AACL-IJCNLP 2020), 2020, : 827 - 832
  • [3] Optimizing the impact of data augmentation for low-resource grammatical error correction
    Solyman, Aiman
    Zappatore, Marco
    Zhenyu, Wang
    Mahmoud, Zeinab
    Alfatemi, Ali
    Ibrahim, Ashraf Osman
    Gabralla, Lubna Abdelkareim
    [J]. JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2023, 35 (06)
  • [4] Chinese Grammatical Error Correction Using Pre-trained Models and Pseudo Data
    Wang, Hongfei
    Kurosawa, Michiki
    Katsumata, Satoru
    Mita, Masato
    Komachi, Mamoru
    [J]. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2023, 22 (03)
  • [5] Chinese Grammatical Error Correction Using Statistical and Neural Models
    Zhou, Junpei
    Li, Chen
    Liu, Hengyou
    Bao, Zuyi
    Xu, Guangwei
    Li, Linlin
    [J]. NATURAL LANGUAGE PROCESSING AND CHINESE COMPUTING, NLPCC 2018, PT II, 2018, 11109 : 117 - 128
  • [6] Do Grammatical Error Correction Models Realize Grammatical Generalization?
    Mita, Masato
    Yanaka, Hitomi
    [J]. FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, ACL-IJCNLP 2021, 2021, : 4554 - 4561
  • [7] Comparison of Grammatical Error Correction Using Back-Translation Models
    Koyama, Aomi
    Hotate, Kengo
    Kaneko, Masahiro
    Komachi, Mamoru
    [J]. 2021 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES (NAACL-HLT 2021), 2021, : 126 - 135
  • [8] Incorporating Syntactic Cognitive in Multi-granularity Data Augmentation for Chinese Grammatical Error Correction
    Sun, Jingbo
    Peng, Weiming
    Xu, Zhiping
    Wang, Shaodong
    Song, Tianbao
    Song, Jihua
    [J]. NEURAL INFORMATION PROCESSING, ICONIP 2023, PT VI, 2024, 14452 : 370 - 382
  • [9] Erroneous data generation for Grammatical Error Correction
    Xu, Shuyao
    Zhang, Jiehao
    Chen, Jin
    Qin, Long
    [J]. INNOVATIVE USE OF NLP FOR BUILDING EDUCATIONAL APPLICATIONS, 2019, : 149 - 158
  • [10] Japanese Writing Support System with Fast Grammatical Error Correction
    Homma, Hiroki
    Komachi, Mamoru
    [J]. Transactions of the Japanese Society for Artificial Intelligence, 2022, 37 (01)
12345