They employed a CCG (Steedman, 2000) or LTAG (Schabes et al., 1988) parser to acquire syntactic/semantic structures, which would be passed to statistical classifier as features.
they used deep analysis as a preprocessor to obtain useful features for training a probabilistic model or statistical classifier of a semantic argument identifier.