北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2011, Vol. 34 ›› Issue (4): 14-18.doi: 10.13190/jbupt.201104.14.zhangtzh

• 论文 • 上一篇    下一篇

交互结构最优化算法中辅助问题的相关性

张韬政1,王小捷1,仝辉2   

  1. 1.北京邮电大学 智能科学研究中心, 北京 100876; 2.北京邮电大学 理学院, 北京 100876
  • 收稿日期:2010-10-24 修回日期:2011-04-27 出版日期:2011-08-28 发布日期:2011-07-18
  • 通讯作者: 张韬政 E-mail:zhangtaozheng@gmail.com
  • 基金资助:

    国家自然科学基金项目(90920006)

Relevancy of Auxiliary Problems in Alternating Structure  Optimization Algorithm

  • Received:2010-10-24 Revised:2011-04-27 Online:2011-08-28 Published:2011-07-18
  • Contact: Zhang TaoZheng E-mail:zhangtaozheng@gmail.com
  • Supported by:

    National Natural Science Foundation of China

摘要:

为了进一步提高交互结构最优化算法的分类效果,提出了辅助问题选择的相关性原则. 以汉语语块分析和汉语语义角色标注任务为例,构造了多种不同类型的辅助问题. 实验结果表明,所构造的辅助问题能够帮助目标问题取得较好的分类效果. 

关键词: 交互结构最优化算法, 结构学习, 半监督学习, 辅助问题, 目标问题, 相关性

Abstract:

The principle of relevancy for auxiliary problems (APs) selection is proposed to further improve the classification results in alternating structure optimization algorithm. Many kinds of APs are created by taking examples of Chinese syntactic chunking and Chinese semantic role labeling. Experiments demonstrate that the APs created can help target problems to obtain better classification results.

Key words: alternating structure optimization, structural learning, semisupervised learning, auxiliary problems, target problems, relevancy

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