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In this position paper, we propose a new approach to generating a type ofknowledge base (KB) from text, based on question generation and entity linking.We argue that the proposed type of KB has many of the key advantages of atraditional symbolic KB: in particular, it consists of small modularcomponents, which can be combined compositionally to answer complex queries,including relational queries and queries involving "multi-hop" inferences.However, unlike a traditional KB, this information store is well-aligned withcommon user information needs.

QA Is the New KR: Question-Answer Pairs as Knowledge Bases