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Added Universal Sentence Rep notes file with TLDR
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Sean Rosario
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notes/supervised-learning-of-universal-sentence-representations.md
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## [Supervised Learning of Universal Sentence Representations from Natural Language Inference Data](https://arxiv.org/abs/1705.02364) | ||
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TLDR; The authors show that supervised training on the NLI task can produce high-quality "universal" sentence embeddings which outperform other existing models, on transfer tasks. They train the sentence vectors on the SNLI corpus using 4 different sentence encoding model architectures. | ||
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