Our model clusters such tuples into underlying semantic relations (e.g., Located, Family) by incorporating general domain knowledge which we encode as First Order Logic rules.
we combine a topic model developed for the relation extraction task with domain relevant rules, and present an algorithm for estimating the parameters of this model.