Papers with document-level metrics

1 papers
Using Context in Neural Machine Translation Training Objectives (2020.acl-main)

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Challenge: Neural Machine Translation (NMT) training is based on document-level metrics, not sentence-level BLEU.
Approach: They propose to merge document-level metrics with batch-level documents to improve NMT training.
Outcome: The proposed training is more robust for document-level metrics than sequence MRT and maximum-likelihood training.

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