Universal Sentence Encoder.

Daniel Cer
Daniel Cer
Yinfei Yang
Yinfei Yang
Sheng-yi Kong
Sheng-yi Kong
Nan Hua
Nan Hua
Nicole Limtiaco
Nicole Limtiaco
Rhomni St. John
Rhomni St. John
Noah Constant
Noah Constant
Mario Guajardo-Cespedes
Mario Guajardo-Cespedes
Steve Yuan
Steve Yuan
Chris Tar
Chris Tar

CoRR, Volume abs/1803.11175, 2018.

被引用34|浏览13
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摘要

We present models for encoding sentences into embedding vectors that specifically target transfer learning to other NLP tasks. The models are efficient and result in accurate performance on diverse transfer tasks. Two variants of the encoding models allow for trade-offs between accuracy and compute resources. For both variants, we inves...更多

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