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.
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.