We observe that backward constituent alignment-based models (1-4) perform similarly to word-based projection models (the F-score ranges between 0.40 and 0.45).
so, a randomly selected sentence pair may evoke novel frames or novel senses of already existing frames (e.g., the "greeting" sense of hail which is currently not listed in FrameNet).