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In this paper we design a multiple features template includes basic features, prefixes and suffixed features, dictionary features and combined features for Chinese named entity recognizer CRF model-based. We do a pre-processing procedure such as pos tag, chunk dictionary-based first. Then for dictionary features, different proportion of dictionaries are used in training and testing, which is different...
Conditional random fields (CRFs) have been used for many sequence labeling tasks and got excellent results. Further, the supervised model strongly depends on the huge training data. Active learning is a different way rather than relying on a large amount random sampling. However, random sampling constructively participates in the optimal choosing training examples. Based on different query strategies,...
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