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Named entity recognition
Active machine learning
7 other sections not shown
active learning process ActiveDecorate annotation process assigned average base learner baseline BootMark method bootstrapping CfsSE CfsSubsetEval S BestFirst chapter class label classification performance Co-testing Co-training committee members Conditional Random Fields ConsistencySubsetEval S BestFirst ConsSE context corpus data set defined described disagreement metrics documents to annotate emerging issues ENAMEX evaluation experiments F-score feature selection held-out human annotator instance intra-container iteration Jensen-Shannon divergence Kullback-Leibler divergence learning curve learning methods logistic regression machine learning manual annotation margin-based meta.AttributeSelectedClassifier E CfsSubsetEval meta.AttributeSelectedClassifier E ConsistencySubsetEval named entity recognition Number of documents NUMEX parameter parse trees part-of-speech tagging phase pre-tagging predicted query by boosting query by committee query by uncertainty random REPTree seed set selection agreement selection metric sentences standard deviation stopping criterion supervised learning target class test set TIMEX tion token training data training examples training set Figure unannotated unlabeled data validation set agreement view classifiers vote entropy Weka word sense disambiguation