  Previous work on Entity Linking has focused on resources targeting non-nested
proper named entity mentions, often in data from Wikipedia, i.e. Wikification.
In this paper, we present and evaluate WikiGUM, a fully wikified dataset,
covering all mentions of named entities, including their non-named and
pronominal mentions, as well as mentions nested within other mentions. The
dataset covers a broad range of 12 written and spoken genres, most of which
have not been included in Entity Linking efforts to date, leading to poor
performance by a pretrained SOTA system in our evaluation. The availability of
a variety of other annotations for the same data also enables further research
on entities in context.
