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LM-Combiner: A Contextual Rewriting Model for Chinese Grammatical Error Correction
Proceedings of the Language Resources and Evaluation ConferenceAccepted to COLING ...
Yixuan Wang +4 more
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FlaCGEC: A Chinese Grammatical Error Correction Dataset with Fine-grained Linguistic Annotation
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023 Chinese Grammatical Error Correction (CGEC) has been attracting growing attention from researchers recently. In spite of the fact that multiple CGEC datasets have been developed to support the research, these datasets lack the ability to provide a deep linguistic topology of grammar errors, which is critical for interpreting and diagnosing CGEC ...
Hanyue Du +6 more
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Proceedings of the AAAI Conference on Artificial IntelligenceLarge language models (LLMs) have demonstrated exceptional error detection capabilities and can correct sentences with high fluency in grammatical error correction (GEC) tasks. However, when correcting Chinese academic papers, LLMs face significant challenges of over-correction. To delve deeper into this issue, we explore the underlying reasons. On one
Zixiao Kong +5 more
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Chinese grammatical error correction based on knowledge distillation
CoRR, 2022 In view of the poor robustness of existing Chinese grammatical error correction models on attack test sets and large model parameters, this paper uses the method of knowledge distillation to compress model parameters and improve the anti-attack ability of the model.
Peng Xia 0005 +4 more
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FCGEC: Fine-Grained Corpus for Chinese Grammatical Error Correction
Findings of the Association for Computational Linguistics: EMNLP 2022, 2022 Long paper, accepted at the Findings of EMNLP ...
Lvxiaowei Xu +4 more
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, 2022 Computational Grammars can be adapted to detect ungrammatical sentences, effectively transforming them into error detection (or correction) systems. In this paper we provide a theoretical account of how to adapt implemented HPSG grammars for grammatical ...
Morgado da Costa, Luis, Bond, Francis
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Findings of the Association for Computational Linguistics: ACL 2022, 2022 Whole word masking (WWM), which masks all subwords corresponding to a word at once, makes a better English BERT model. For the Chinese language, however, there is no subword because each token is an atomic character. The meaning of a word in Chinese is different in that a word is a compositional unit consisting of multiple characters.
Yong Dai 0001 +7 more
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A new evaluation method: evaluation data and metrics for Chinese grammatical error correction
Language Resources and Evaluation, 2022 Abstract As a fundamental task in natural language processing (NLP), Chinese Grammatical Error Correction (CGEC) [1–3] has gradually received widespread attention and become a research hotspot. However, one obvious deficiency of the existing CGEC evaluation systems is that the evaluation values of the same error correction models are signif ...
Nankai Lin +4 more
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MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking
, 2020 Grammatical error correction (GEC) is a promising natural language processing (NLP) application, whose goal is to change the sentences with grammatical errors into the correct ones.
Wang, Houfeng, Zhao, Zewei
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Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction
Findings of the Association for Computational Linguistics: EMNLP 2022, 2022 Long paper, accepted at the Findings of EMNLP ...
Shirong Ma +11 more
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