信息抽取技术的发展现状及构建方法的研究

[1] 实体关系自动抽取 [J]. 中文信息学报, 2005, (02) : 1 - 6

[2] An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization[J] . Thomas G. Dietterich.Machine Learning . 2000 (2)

[3] Reducing multiclass to Binary: A Unifying Approach for Margin Classifiers .2 Allwein E L,Schapire R E,Singer Y. Journal of Machine Learning Research . 2000

[4] Empirical methods in information extraction .2 CARDIE C. AIMagazine . 1997

[1] 实体关系自动抽取 [J]. 中文信息学报, 2005, (02) : 1 - 6

[2] An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization[J] . Thomas G. Dietterich.Machine Learning . 2000 (2)

[3] Reducing multiclass to Binary: A Unifying Approach for Margin Classifiers .2 Allwein E L,Schapire R E,Singer Y. Journal of Machine Learning Research . 2000

[4] Empirical methods in information extraction .2 CARDIE C. AIMagazine . 1997