Papers with sequence-to-edit

2 papers
TemplateGEC: Improving Grammatical Error Correction with Detection Template (2023.acl-long)

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Challenge: Existing methods for grammatical error correction (GEC) have been developed.
Approach: They propose a method which integrates the detection labels from a Seq2Edit model to construct a template as the input.
Outcome: The proposed method can perform human-in-the-loop error correction tasks.
Multi-pass Decoding for Grammatical Error Correction (2024.emnlp-main)

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Challenge: Seq2edit models decode only once without aware of subsequent tokens.
Approach: They propose to iteratively refine the correction results of seq2seq models via Multi-Pass Decoding (MPD) to improve performance, but MPD increases inference costs . they propose to merge the source input and previous round correction result into one sequence.
Outcome: Experiments on the CoNLL-14 and BEA-19 test set show that the proposed approach improves over baselines.

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