We evaluate the proposed framework on ACE standard corpus by extensive experiments and obtain the accuracy of 71% for nested boundary detection,the accuracy of 89.05%,82.17% for the two classification agents respectively.

• 在标准ACE语料上的实验表明；基于条件随机场的多层实体边界检测模型正确率达到71%25；融合特征选择策略的两个并行分类引擎的正确率也分别达到了89.；05%25和82