Papers by Domenic Donato

1 papers
Diverse Pretrained Context Encodings Improve Document Translation (2021.acl-long)

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Challenge: Existing models for sentence-level sequence-to-sequence translations do not use extra-sentential information.
Approach: They propose a sentence-level sequence-to-sequence transformer with multiple pre-trained context signals.
Outcome: The proposed model outperforms existing models on Chinese-English and English-German tasks.

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