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-ULimFit - [Universal Language Model Fine-tuning for Text Classification](https://arxiv.org/abs/1801.06146) by Jeremy Howard and Sebastian Ruder
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-ULMFiT - [Universal Language Model Fine-tuning for Text Classification](https://arxiv.org/abs/1801.06146) by Jeremy Howard and Sebastian Ruder
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- InferSent - [Supervised Learning of Universal Sentence Representations from Natural Language Inference Data](https://arxiv.org/abs/1705.02364) by facebook
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- CoVe - [Learned in Translation: Contextualized Word Vectors](https://arxiv.org/abs/1708.00107)
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- Pargraph vectors - from [Distributed Representations of Sentences and Documents](https://cs.stanford.edu/~quocle/paragraph_vector.pdf). See [doc2vec tutorial at gensim](https://rare-technologies.com/doc2vec-tutorial/)
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