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Universal Language Model Fine-tuning for Text Classification Semi-supervised sequence tagging with bidirectional language models Consensus Attention-based Neural Networks for Chinese Reading Comprehension Attention-over-Attention Neural Networks for Reading Comprehension Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms Convolutional Neural Networks for Sentence Classification Deep contextualized word representations Neural Architectures for Named Entity Recognition Improving Language Understanding by Generative Pre-Training A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence C Teaching Machines to Read and Comprehend

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