Last updated: July 2,2014 This is the current performance for 10-fold CV for the Roth's CoNLL 2004 dataset using the entity tags predicted by Stanford CoreNLP NER tagger during training. It uses the following features: arg_words,arg_type,dependency_path_lowlevel,dependency_path_words,surface_path_POS,entities_between_args,full_tree_path Label Correct Predict Actual Precn Recall F Roth/Yih F1 Live_In 239.0 302.0 521.0 79.1 45.9 58.1 51.6 Located_In 179.0 212.0 406.0 84.4 44.1 57.9 56.2 OrgBased_In 169.0 252.0 452.0 67.1 37.4 48.0 51.7 Work_For 185.0 247.0 401.0 74.9 46.1 57.1 52.0 _NR 36176.0 37163.0 36396.0 97.3 99.4 98.4 Total 772.0 1013.0 1780.0 76.2 43.4 55.3