While traditional Information Extraction (IE) (ARPA, 1991;ARPA, 1998) focused on identifying and extracting specific relations of interest, there has been great interest in scaling IE to a broader set of relations and to far larger corpora (Banko et al., 2007;Hoffmann et al., 2010;Mintz et al., 2009;Carlson et al., 2010;.
for comparison, we use a state-of-the-art SRL system from Lund University (Johansson and Nugues, 2008), which is trained on PropBank (Martha and Palmer, 2002) for its verb-frames and NomBank (Meyers et al., 2004) for noun-frames.