Many people believe that if you identify as a particular gender, then are gender. This paper is my attempt at making sense of this claim. I propose to conceive genders names: determined by the individual and not requiring any specific biological or psychological qualities, yet still important bearer.

The accuracy of a Cross Document Coreference system depends on the amount of context available, which is a parameter that varies greatly from corpora to corpora. This paper presents a statistical model for computing name perplexity classes. For each perplexity class, the prior probability of coreference is estimated. The amount of context required for coreference is controlled by the prior core...