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[160617]CoNLL_UD_Japanese KTC

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

Machine: linearb

Branch: master

Command: spark-submit --driver-memory 20g --executor-memory 20g --master 'local[*]' /ugrad/1/pavvaru/glm-parser/src/glm_parser.py -s 8 -i 5 -p /ugrad/1/pavvaru/universal-dependencies-1.2/UD_Japanese-KTC --train="ja_ktc-ud-train.conllu" --test="ja_ktc-ud-test.conllu" --learner=average_perceptron --fgen=english_1st_fgen --parser=ceisner --config=/ugrad/1/pavvaru/glm-parser/src/config/conllu.config

Results Total Training Time: 1046.45256805 Evaluating... Unlabeled accuracy: 0.846591494182 Unlabeled attachment accuracy: 0.851996274449

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