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Parallel Iterative Edit Models for Local Sequence Transduction

Propose parallel iterative edit models for local sequence transduction. Introduce a framework consisting of two tasks: tagging, which chooses and arbitrarily reorders a subset of input tokens to keep, and insertion, which infills the missing tokens with another pretrained masked language model.

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Cite this as

Awasthi et al., Ng et al., Boyd, Rozovskaya and Roth (2024). Dataset: Parallel Iterative Edit Models for Local Sequence Transduction. https://doi.org/10.57702/9oxcqq51

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2111.09280
Author	Awasthi et al.
More Authors	Ng et al. Boyd Rozovskaya and Roth
Homepage	https://aclanthology.org/2019.emnlp-conference.123