In our model, the context of each name mention m is the word window surrounding m, and the window size is set to 50 according to the experiments in (Pedersen et al., 2005).
the context knowledge of an entity e is encoded in an unigram language model: where P e (t) is the probability of the term t appearing in the context of e. In our model, the term may indicate a word, a named entity (extracted using the Stanford Named Entity Micheal Jordan NULL Recognizer 4 ) or a Wikipedia concept (extracted using the method described in (Han and Zhao, 2010)).