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Improving Retrieval-Based Question Answering with Deep Inference Models
TLDR
We present a two-step method that combines information retrieval techniques optimized for question answering with deep learning models for natural language inference in order to tackle the multiple-choice question answering problem. Expand
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Answering questions by learning to rank - Learning to rank by answering questions
TLDR
We introduce a self-attention based neural network that latently learns to rank documents by their importance related to a given question, whilst optimizing the objective of predicting the correct answer. Expand
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