most citedFocus Is What You Need For Chinese Grammatical Error Correction

4 citations · 10 across the 8 of their papers we have counts for

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8 papers

cs.CL20221 cited

Towards Attribute-Entangled Controllable Text Generation: A Pilot Study of Blessing Generation

Shulin Huang, Shirong Ma, Yinghui Li +4

Controllable Text Generation (CTG) has obtained great success due to its fine-grained generation ability obtained by focusing on multiple attributes. However, most existing CTG res…

cs.CL2022

A Curriculum Learning Approach for Multi-domain Text Classification Using Keyword weight Ranking

Zilin Yuan, Yinghui Li, Yangning Li +3

Text classification is a very classic NLP task, but it has two prominent shortcomings: On the one hand, text classification is deeply domain-dependent. That is, a classifier traine…

cs.CL20224 cited

Focus Is What You Need For Chinese Grammatical Error Correction

Jingheng Ye, Yinghui Li, Shirong Ma +3

Chinese Grammatical Error Correction (CGEC) aims to automatically detect and correct grammatical errors contained in Chinese text. In the long term, researchers regard CGEC as a ta…

cs.CL20221 cited

Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction

Shirong Ma, Yinghui Li, Rongyi Sun +9

Chinese Grammatical Error Correction (CGEC) is both a challenging NLP task and a common application in human daily life. Recently, many data-driven approaches are proposed for the…

cs.CL20222 cited

Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking

Yinghui Li, Shirong Ma, Qingyu Zhou +7

Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling errors. Recent researches start from the pretrained knowledge of language models and take multimodal inform…

cs.CL2022

Contrastive Learning with Hard Negative Entities for Entity Set Expansion

Yinghui Li, Yangning Li, Yuxin He +3

Entity Set Expansion (ESE) is a promising task which aims to expand entities of the target semantic class described by a small seed entity set. Various NLP and IR applications will…