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generate the training, validation and testing set.

convert the multi-label classification into binary classification

training every logistic classification model and output the testing results

summarize the predicted results for every categories and overall results.

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Biological Event Trigger Identification with Noise Contrastive Estimation

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  • Python 97.9%
  • Perl 2.1%