most citedEvaluating Prompting Strategies for Grammatical Error Correction Based on Language Proficiency

3 citations · 5 across the 6 of their papers we have counts for

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cs.CL2025

Multilingual Grammatical Error Annotation: Combining Language-Agnostic Framework with Language-Specific Flexibility

Mengyang Qiu, Tran Minh Nguyen, Zihao Huang +5

Grammatical Error Correction (GEC) relies on accurate error annotation and evaluation, yet existing frameworks, such as , face limitations when extended to typolog…

cs.CL2024

Frustratingly Simple Prompting-based Text Denoising

Jungyeul Park, Mengyang Qiu

This paper introduces a novel perspective on the automated essay scoring (AES) task, challenging the conventional view of the ASAP dataset as a static entity. Employing simple text…

cs.CL20243 cited

Evaluating Prompting Strategies for Grammatical Error Correction Based on Language Proficiency

Min Zeng, Jiexin Kuang, Mengyang Qiu +2

The writing examples of English language learners may be different from those of native speakers. Given that there is a significant differences in second language (L2) learners' er…

cs.CL20242 cited

Neural Automated Writing Evaluation with Corrective Feedback

Izia Xiaoxiao Wang, Xihan Wu, Edith Coates +5

The utilization of technology in second language learning and teaching has become ubiquitous. For the assessment of writing specifically, automated writing evaluation (AWE) and gra…

cs.CL2023

Word segmentation granularity in Korean

Jungyeul Park, Mija Kim

This paper describes word {segmentation} granularity in Korean language processing. From a word separated by blank space, which is termed an eojeol, to a sequence of morphemes in K…

cs.CL2023

Extrinsic Factors Affecting the Accuracy of Biomedical NER

Zhiyi Li, Shengjie Zhang, Yujie Song +1

Biomedical named entity recognition (NER) is a critial task that aims to identify structured information in clinical text, which is often replete with complex, technical terms and…