Papers with GRUEN

1 papers
GRUEN for Evaluating Linguistic Quality of Generated Text (2020.findings-emnlp)

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Challenge: Existing evaluation metrics focus on content selection, not linguistic quality . proposed GRUEN measures Grammaticality, non-redundancy, focUs, structure and coherence of generated text.
Approach: They propose to use a BERT-based model and a class of syntactic, semantic, and contextual features to examine the system output.
Outcome: Experiments show that the proposed metric correlates highly with human judgments.

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