Universal Sentence Encoder.
CoRR, Volume abs/1803.11175, 2018.
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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