Natural Language Processing
In Reinforcement Learning (RL), an agent is guided by the rewards it receives from the reward function. Unfortunately, it may take many …
We examine the problem of question answering over knowledge graphs, focusing on simple questions that can be answered by the lookup of …
We introduce a hierarchical architecture for machine reading capable of extracting precise information from long documents. The model …
We present a framework for question answering that can efficiently scale to longer documents while maintaining or even improving …