fairseq: A Fast, Extensible Toolkit for Sequence Modeling

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Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations). 2019.

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Myle Ott

American Jewish Committee

Sergey Edunov

Google (United States)

Alexei Baevski

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Ott et al. (Tue,) studied this question.

synapsesocial.com/papers/69df6dd26324afb55d59293e — DOI: https://doi.org/10.18653/v1/n19-4009

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Also consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

Convolutional Sequence to Sequence Learning· 2017 · 1,340 citations
ROUGE: A Package for Automatic Evaluation of Summaries· 2004 · 8,309 citations
A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction· 2018 · 98 citations
OpenSeq2Seq: Extensible Toolkit for Distributed and Mixed Precision Training of Sequence-to-Sequence Models· 2018 · 25 citations

fairseq: A Fast, Extensible Toolkit for Sequence Modeling

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