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LM-Combiner: A Contextual Rewriting Model for Chinese Grammatical Error Correction
March 27, 2024, 4:48 a.m. | Yixuan Wang, Baoxin Wang, Yijun Liu, Dayong Wu, Wanxiang Che
cs.CL updates on arXiv.org arxiv.org
Abstract: Over-correction is a critical problem in Chinese grammatical error correction (CGEC) task. Recent work using model ensemble methods based on voting can effectively mitigate over-correction and improve the precision of the GEC system. However, these methods still require the output of several GEC systems and inevitably lead to reduced error recall. In this light, we propose the LM-Combiner, a rewriting model that can directly modify the over-correction of GEC system outputs without a model ensemble. …
abstract arxiv chinese cs.cl ensemble error error correction gec however precision systems type voting work
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