Papers with IMPARA

3 papers
IMPARA: Impact-Based Metric for GEC Using Parallel Data (2022.coling-1)

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Challenge: Existing methods for automatic evaluation of grammatical error correction require multiple reference sentences or manual scores.
Approach: They propose an Impact-based Metric for GEC using PARAllel data, IMPARA . IMPRA computes correction impacts computed by parallel data comprising pairs of grammatical/ungrammatically-spaced sentences.
Outcome: The proposed method can perform evaluations that fit different domains and correction styles.
IMPARA-GED: Grammatical Error Detection is Boosting Reference-free Grammatical Error Quality Estimator (2025.findings-acl)

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Challenge: Existing reference-free automatic grammatical error correction methods do not correlate with human evaluation.
Approach: They propose a reference-free automatic grammatical error correction evaluation method with enhanced gramma-ed capabilities.
Outcome: The proposed method achieves highest correlation with human evaluations on a meta-evaluation dataset.
Reliability Crisis of Reference-free Metrics for Grammatical Error Correction (2025.findings-emnlp)

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Challenge: Reference-free evaluation metrics for grammatical error correction have high correlation with human judgments, but they are not designed to evaluate adversarial systems that aim to obtain unjustifiably high scores.
Approach: They propose adversarial attack strategies for four reference-free metrics . they propose SOME, Scribendi, IMPARA, and LLM-based metrics based on these metrics a .
Outcome: The proposed attacks outperform the current state-of-the-art for four reference-free metrics .

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