Given attribute values p ′ a and c ′ a , we compute Count(p ′ a , c ′ a , l=1) as follows: is estimated as follows: where Count(k c ) is the number of times k c appears in the training data, and Count(k c , l=1) is the expected number of times k c is the context surrounding a pronoun and its antecedent c. Given context k ′ c , we compute Count(k ′ c , l=1) as follows: To start the induction process, we initialize all parameters with uniform values.
p (p a |c a , l=1) is set to 1 |a| , and p (l=1|k c ) is set to 0.5.