We use RIPPER (Cohen, 1995), an information gain-based propositional rule learning system, to train a classifier that, given a test instance , decides whether or not NP § £ and NP¨£ are coreferent.
rIPPEr sequentially covers the positive training instances and induces a ruleset that determines when two NPs are coreferent.