This paper presents a systematic study of cooccurrence quantification focusing on the selection of parameters presented in<cite> Levy et al. (2015)</cite> . We replicate their recommendation for high-dimensional vector spaces, and show that with appropriate parameter selection it is possible to achieve comparable performance with spaces of dimensionality of 1K to 50K, and propose a set of model selection heuristics that maximizes performance.