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BERT Sequence to Sequence

Text algorithms
Year: 2,020
Journal: Association for Computational Linguistics
Languages: All Languages
Programming languages: Python
Input data:

text

Project website: https://github.com/google-research/google-research/tree/master/bertseq2seqhttps://tfhub.dev/s?module-type=text-generation&subtype=module,placeholder
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In this paper, we demonstrate the efficacy of pretrained checkpoints for Sequence Generation. We developed a Transformer-based sequence-to-sequence model that is compatible with publicly available pre-trained BERT, GPT-2 and RoBERTa checkpoints.

Machine translation pre-training sentence fusion sentence splitting sequence-to-sequence text summarization

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