Sequence to Sequence Learning with Neural Networks

E260048 UNEXPLORED

"Sequence to Sequence Learning with Neural Networks" is a seminal 2014 paper that introduced the sequence-to-sequence (seq2seq) neural network framework for tasks like machine translation, laying the groundwork for many modern NLP models.

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Full triples — surface form annotated when it differs from this entity's canonical label.

Quoc V. Le → coAuthorOf → Sequence to Sequence Learning with Neural Networks →

Oriol Vinyals → notableWork → Sequence to Sequence Learning with Neural Networks →