针对训练数据来源的多样化，提出了基于多模板隐马尔可夫模型的文本信息抽取算法。
This paper proposes a new algorithm using hidden Markov model for information extraction based on multiple templates due to the variety of training data.
本研究抽取451名中学生为被试，采用SPSS和结构方程模型分析的方法对数据进行处理。
In this study, 451 middle school students were tested, by using SPSS and structural equation model analysis method for data processing.
提出了基于数据抽取器的知识发现模型。
In this paper, a knowledge discovery model based on data extractor is proposed.
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