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Jiaqi Li edited this page Aug 3, 2016 · 1 revision

python glm_parser.py -i 1 -b 2 -e 21 -t 0,1,22,24 -p ~/data/penn-wsj-deps/ -d 03-09-2016 -a --learner=average_perceptron --fgen=english_1st_fgen --parser=cube_pruning

Result in glm_parser.log: 03/14/2016 08:02:50 AM INFO: Training time usage(seconds): 367605.610000 03/14/2016 08:02:50 AM INFO: Feature count: 4831521 03/14/2016 08:02:50 AM INFO: Unlabeled accuracy: 0.901995761849 (150682, 167054) 03/14/2016 08:02:50 AM INFO: Unlabeled attachment accuracy: 0.905915615985 (157642, 174014)

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