Learning When Not to Answer: A Ternary Reward Structure for Reinforcement Learning based Question Answering

NAACL 2019 Fréderic GodinAnjishnu KumarArpit Mittal

In this paper, we investigate the challenges of using reinforcement learning agents for question-answering over knowledge graphs for real-world applications. We examine the performance metrics used by state-of-the-art systems and determine that they are inadequate for such settings... (read more)

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