Reference-less Measure of Faithfulness for Grammatical Error Correction
April 11, 2018 ยท Declared Dead ยท ๐ North American Chapter of the Association for Computational Linguistics
"No code URL or promise found in abstract"
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Authors
Leshem Choshen, Omri Abend
arXiv ID
1804.03824
Category
cs.CL: Computation & Language
Cross-listed
cs.AI
Citations
35
Venue
North American Chapter of the Association for Computational Linguistics
Last Checked
4 months ago
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.
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