's approach by 2.6-7.0 accuracy points.
while existing approaches to debate stance classification have primarily employed lexico-syntactic features, to our knowledge this is the first attempt to employ FrameNet for this task to induce features that aim to capture the meaning and provide semantic generalizations of a sentence.