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20242026
most citedEvaluating Prompting Strategies for Grammatical Error Correction Based on Language Proficiency

3 citations · 5 across the 10 of their papers we have counts for

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10 papers

cs.CL2026

A Layered Taxonomy for Chinese Learner Grammatical Error Annotation

Mengyang Qiu, Jungyeul Park

Grammatical error annotation in Chinese learner writing requires labels that are both consistent and linguistically meaningful. This paper proposes a layered scheme linking computa…

cs.CL2026

Non-binary bottom-up constituency parsing without arity actions

Jungyeul Park, Eunkyul Leah Jo, Zihao Huang

Non-binary bottom-up constituency parsing commonly uses arity-specific reductions such as \(\textsc{Reduce-}X\#k\), which jointly specify the mother label and number of children. W…

cs.CL2026

Refining Word-Based Grammatical Error Annotation for L2 Korean

Jungyeul Park, Kyungtae Lim, Wonjun Oh +4

Korean grammatical error correction (K-GEC) presents a structural mismatch between word-based evaluation and the morpheme-level locus of many learner errors. Postpositions and verb…

cs.CL2025

A Formal Framework for Fluency-based Multi-Reference Evaluation in Grammatical Error Correction

Eitan Klinger, Zihao Huang, Tran Minh Nguyen +7

Evaluating grammatical error correction requires metrics that reflect the diversity of valid human corrections rather than privileging a single reference. Existing frameworks, larg…

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.CL2025

Chinese Grammatical Error Correction: A Survey

Mengyang Qiu, Qingyu Gao, Linxuan Yang +4

Chinese Grammatical Error Correction (CGEC) is a critical task in Natural Language Processing, addressing the growing demand for automated writing assistance in both second-languag…

cs.CL2024

Revisiting Absence withSymptoms that *T* Show up Decades Later to Recover Empty Categories

Emily Chen, Nicholas Huang, Casey Robinson +3

This paper explores null elements in English, Chinese, and Korean Penn treebanks. Null elements contain important syntactic and semantic information, yet they have typically been t…

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.CL2024★ 3 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.CL2024★ 2 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…