This yields a binary feature indicating whether a candidate entity is a geographic outlier or not.
since outliers are rare and hence the resulting features sparse, we also also add a feature for the average geographic distanced(d, E) of a candidate entity e to all other entities in document D: d(e, D) = e ∈D\e d(e, e ) |D| − 1 where d(e, e ) is the geographic distance between entities e and e , and |D| is the number of entities 3 high context-similarity due to the appositive race, and an almost perfect string match between mention and Wikipedia title.