Papers with monotonicity loss function

1 papers
On Biasing Transformer Attention Towards Monotonicity (2021.naacl-main)

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Challenge: Existing work has focused on learning monotonic attention behavior via specialized attention functions or pretraining.
Approach: They introduce a monotonicity loss function compatible with standard attention mechanisms and test it on sequence-to-sequence tasks.
Outcome: The proposed monotonicity loss function can achieve largely monotonic behavior on grapheme-to-phoneme conversion, morphological inflection, transliteration, and dialect normalization tasks.

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