Our parser achieves an F-score of 63% (Row 3) and the result is 5% better than the first published result reported in (Flanigan et al., 2014) with the same training and test set (Row 2).
we also conducted experiments on the test set by replacing the parsed graph with gold 1 A script to create the train/dev/test partitions is available at the following URL: http://goo.gl/vA32iI 2 we used CoreNLP toolkit v3.3.1 and parser model wsjPCFG.ser.gz trained on the wSJ treebank sections 02-21. relation labels or/and gold concept labels.