  In this position paper, we propose a new approach to generating a type of
knowledge 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 a
traditional symbolic KB: in particular, it consists of small modular
components, 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 with
common user information needs.
