Furthermore, modeling the a priori substitution likelihood captures the majority of cases in the evaluated setting, mostly because Word-Net provides a rather noisy set of substitution candidates.
successfully incorporating local and global contextual information, as similar to WSD methods, remains a challenging task for future research.