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Pre-trained text encoders have rapidly advanced the state of the art on many NLP tasks.
Multi-task deep neural networks for natural language understanding
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Collecting diverse natural language inference problems for sentence representation evaluation
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BERT: Pre-training of deep bidirectional transformers for language understanding
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Language models are unsupervised multitask learners
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Deep contextualized word representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018a
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Dissecting contextual word embeddings: Architecture and representation
Matthew Peters, Mark Neumann, Luke Zettlemoyer, and Wen-tau Yih. 2018b
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