Papers by Maksym Tarnavskyi

1 papers
Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction (2022.acl-long)

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Challenge: Currently, machine translation (MT) is the mainstream approach for GEC.
Approach: They propose to ensemble Transformer-based encoders by majority votes on span-level edits . their best ensemble achieves a new SOTA result even without pre-training on synthetic datasets - "Troy-Blogs" and "Try-1BW".
Outcome: The proposed model achieves a new SOTA result even without pre-training on synthetic datasets.

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