Papers with subword-level finetuning

1 papers
Levenshtein Training for Word-level Quality Estimation (2021.emnlp-main)

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Challenge: a novel scheme to perform word-level quality estimation is proposed for word-based quality estimation . authors propose a two-stage transfer learning procedure on augmented and human data . a Levenshtein Transformer can learn to post-edit without explicit supervision.
Approach: They propose a novel scheme to use a Levenshtein Transformer to perform word-level quality estimation.
Outcome: The proposed method performs better under data-constrained and unconstrained conditions than existing methods.

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