Given that fact, (Burchardt et al., 2009) pointed out that using shallow semantic representations based on predicate-argument structures and frame knowledge is an intuitive and straightforward approach to textual inference tasks.
to previous work which integrate predicate-argument structures as features in machine learning-based systems (Harabagiu et al., 2006;De Marneffe et al., 2008), this paper combines shallow semantic representations derived from semantic role labeling with binary relations extracted from sentences for the CD task.