Edit Invariant Sequence Loss

method ID: editinvariantsequenceloss

Related Papers

Don’t Take It Literally: An Edit-Invariant Sequence Loss for Text Generation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractNeural text generation models are typically trained by maximizing log-likelihood with the sequence cross entropy (CE) loss, which encourages an exact token-by-token match between a target sequence with a generated …...

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