Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents

Understand

Interpretable multi-hop reading comprehension (RC) over multiple documents is a challenging problem because it demands reasoning over multiple information sources and explaining the answer prediction by providing supporting evidences.

• In this paper, we propose an effective and interpretable Select, Answer and Explain (SAE) system to solve the multi-document RC problem.
• Our system first filters out answer-unrelated documents and thus reduce the amount of distraction information.
• This is achieved by a document classifier trained with a novel pairwise learning-to-rank loss.