Different from previous work that casts the answer extraction task as a tagging problem and apply a CRF to learn an answer phrase tagger (Yao et al., 2013), we take on a simpler approach using a kernelbased classifier.
we rely on the shallow tree representation, where text spans identified by a shallow syntactic parser serve as a source of candidate answers.