Our base model (RnnOIE, § 2) performs better than non-neural systems, confirming the advantage of supervised training under the sequence labeling setting.
"Wrong argument" is where extracted arguments do not coincide with ground truth, which is mainly caused by merging multiple arguments in ground truth into one.