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************************************************ Named Entity Recognition using perceptron learning Data: CoNLL-2003 Algorithm: Structured Perceptron author : An Yan date: March, 2017 Python version: 2.7 ************************************************* HOW TO RUN: example: python NER_yanan.py -t 5 eng.train.small eng.dev.small ** this will output accuracy and classification report ** I did not use conlleval.txt script, but sklearn classfication report **************************** parameters: -t: the threshold of discarding features that occur less than K times in the training set. default = 1. test data set dev data set or test data set. ***************************** Help message, please type python yanan_lm.py -h ************************************************
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NE tagging with structured perceptron, hand-designed features. Use CoNLL-2003 dataset
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