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交互结构最优化算法中辅助问题的相关性

DOI: 10.13190/jbupt.201104.14.zhangtzh, PP. 14-18

Keywords: 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

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Abstract:

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.

References

[1]  Ando Rie Kubota, Zhang Tong. A framework for learning predictive structures from multiple tasks and unlabeled data[J]. Journal of Machine Learning Research, 2005, 6: 1817-1853.
[2]  Ando Rie Kubota, Zhang Tong. High performance semi-supervised learning for text chunking//Kevin Knight. Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics. Michigan: , 2005: 1-9.
[3]  白雪, 张韬政, 何赛克, 等. 基于ASO的汉语语块分析//中国人工智能学会第13届年会. 北京: 北京邮电大学出版社, 2009.
[4]  Zhang Taozheng, Wang Xiaojie, Tong Hui. Researches on combinations of auxiliary problems in ASO (alternating structure optimization) algorithm//Qi Luo. Proceedings of 2010 Third Pacific-Asia Conference on Web Mining and Web-based Application. Guilin: , 2010: 183-190.
[5]  Saike He, Zhang Taozheng, Bai Xue, et al. Incorporating multi-task learning in conditional random fields for chunking in semantic role labeling//Proceedings of 2009 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE09). Dalian: , 2009: 47-51.

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