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GLEU Without Tuning

The GLEU metric was proposed for evaluating grammatical error corrections using n-gram overlap with a set of reference sentences, as opposed to precision/recall of specific annotated errors (Napoles et al., 2015). This paper describes improvements made to the GLEU metric that address problems that arise when using an increasing number of reference sets. Unlike the originally presented metric, the modified metric does not require tuning. We recommend that this version be used instead of the original version.

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Co-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipAuthorshipWorks onAuthorshipAuthorshipAuthorshipTopic signalWGLEU Without Tuningpreprint / 2016ACourtney NapolesResearcherAKeisuke SakaguchiResearcherAMatt PostResearcherAJoel TetreaultResearcherTComputation and Language14115 works
PaperSignal 105 links

GLEU Without Tuning

preprint / 2016

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