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NeurIPS 2015 Ryan KirosYukun ZhuRuslan SalakhutdinovRichard S. ZemelAntonio TorralbaRaquel UrtasunSanja Fidler

We describe an approach for unsupervised learning of a generic, distributed sentence encoder. Using the continuity of text from books, we train an encoder-decoder model that tries to reconstruct the surrounding sentences of an encoded passage... (read more)

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