Although it achieves the highest accuracy on the 2-way classification, its accuracy drops drastically as n gets bigger, indicating that SCF does not scale as well as other feature sets when dealing with larger number of verb classes.
the co-occurrence feature (CO), which is believed to convey only lexical information, outperforms SCF on every n-way classification when n ≥ 10, suggesting that verbs in the same Levin classes tend to share their neighboring words.