arXiv:2505.19388
공식 코드 · Papers with Code
gec-metrics: A Unified Library for Grammatical Error Correction Evaluation
원문 초록
We introduce gec-metrics, a library for using and developing grammatical error correction (GEC) evaluation metrics through a unified interface. Our library enables fair system comparisons by ensuring that everyone conducts evaluations using a consistent implementation. Moreover, it is designed with a strong focus on API usage, making it highly extensible. It also includes meta-evaluation functionalities and provides analysis and visualization scripts, contributing to developing GEC evaluation metrics. Our code is released under the MIT license and is also distributed as an installable package. The video is available on YouTube.
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Exploring the Feasibility of Multilingual Grammatical Error Correction with a Single LLM up to 9B parameters: A Comparative Study of 17 Models
Rethinking Evaluation Metrics for Grammatical Error Correction: Why Use a Different Evaluation Process than Human?
Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction
DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models
Improving Explainability of Sentence-level Metrics via Edit-level Attribution for Grammatical Error Correction
Enhancing Grammatical Error Detection using BERT with Cleaned Lang-8 Dataset
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