Models for selectional preference need to adequately deal with the consequences of Zipf's law: language is inherently sparse, and the majority of language utterances occur very infrequently.
models that are based on corpus data need to properly generalize beyond the mere co-occurrence frequencies of sparse corpus data, taking into account the semantic similarity of both predicates and arguments.