English

Reference-less Measure of Faithfulness for Grammatical Error Correction

Computation and Language 2018-05-10 v4 Artificial Intelligence

Abstract

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.

Keywords

Cite

@article{arxiv.1804.03824,
  title  = {Reference-less Measure of Faithfulness for Grammatical Error Correction},
  author = {Leshem Choshen and Omri Abend},
  journal= {arXiv preprint arXiv:1804.03824},
  year   = {2018}
}

Comments

Final version for NAACL 2018

R2 v1 2026-06-23T01:20:06.011Z