Convolutional Sequence to Sequence Learning

Jonas GehringMichael AuliDavid GrangierDenis YaratsYann N. Dauphin

   Papers with code   Abstract  PDF

The prevalent approach to sequence to sequence learning maps an input sequence to a variable length output sequence via recurrent neural networks. We introduce an architecture based entirely on convolutional neural networks... (read more)

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