1.Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension
2.Commonsense for Generative Multi-Hop Question Answering Tasks
3.Dynamic Integration of Background Knowledge in Neural NLU Systems
4.Explicit Utilization of General Knowledge in Machine Reading Comprehension
5.Knowledgeable Reader_ Enhancing Cloze-Style Reading Comprehension with External Commonsense Kg
6.simple and effective text matching. with richer alignment features
7.Enhanced LSTM for Natural Language Inference
8.EDA
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