Existing work in the extraction of commonsense knowledge from text has been
primarily restricted to factoids that serve as statements about what may
possibly obtain in the world. We present an approach to deriving stronger,
more general claims by abstracting over large sets of factoids. Our goal is to
coalesce the observed nominals for a given predicate argument into a few
predominant types, obtained as WordNet synsets. The results can be construed
as generically quantified sentences restricting the semantic type of
an argument position of a predicate.
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This is joint work with Phil Michalak and Len Schubert.
This is a practice talk for a presentation at EACL the following week.