mlsanityData to 14 Oct 2026

Reference-less Measure of Faithfulness for Grammatical Error Correction

arXiv 1804.03824 ↗First posted 11 Apr 2018cs.CL cs.AIcited by 9

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Abstract (arXiv)

We propose USim, a semantic measure for Grammatical Error Correction (GEC) that measures the semantic faithfulness of the output to the source, thereby complementing existing reference-less measures (RLMs) for measuring the output's grammaticality. USim operates by comparing the semantic symbolic structure of the source and the correction, without relying on manually-curated references. Our experiments establish the validity of USim, by showing that (1) semantic annotation can be consistently applied to ungrammatical text; (2) valid corrections obtain a high USim similarity score to the source; and (3) invalid corrections obtain a lower score.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Apr 2018.

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Citing papers per year: 2021: 2; 2022: 2; 2023: 2; 2024: 1; 2025: 1; 2026: 1.

9 papers.