  Information extraction systems often produce hundreds to thousands of strings
on a specific topic. We present a method that facilitates better consumption of
these strings, in an exploratory setting in which a user wants to both get a
broad overview of what's available, and a chance to dive deeper on some
aspects. The system works by grouping similar items together and arranging the
remaining items into a hierarchical navigable DAG structure. We apply the
method to medical information extraction.
