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Found 3 papers, 1 papers with code
Denoising based Sequence-to-Sequence Pre-training for Text Generation
This paper presents a new sequence-to-sequence (seq2seq) pre-training method PoDA (Pre-training of Denoising Autoencoders), which learns representations suitable for text generation tasks.
Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data
It is the first time copying words from the source context and fully pre-training a sequence to sequence model are experimented on the GEC task.
Ranked #4 on
Grammatical Error Correction
on JFLEG
Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension
Cloze-style reading comprehension has been a popular task for measuring the progress of natural language understanding in recent years.
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