Title: Text Information Extraction Based on Active Hidden Markov Model
Abstract: An active learning was used in text information extraction for training text,which was partly labeled.And an approach of text information extraction based on active hidden Markov model was proposed.In this approach,only the most valuable training text for training the model was selected out to label through active learning.Experimental results show that,by selecting the optimal threshold for active model parameters,the approach can reduce the user workload for labeling without affecting the performance of text information extraction.
Publication Year: 2007
Publication Date: 2007-01-01
Language: en
Type: article
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