Nested Vector Segmentation Technique in Knowledge Extraction
知识抽取中的嵌套向量分词技术

Well-known algorithm of maximum matching method is implemented in the process of knowledge extraction,and drawn a conclusion about critical techniques of vector segmentation.Nested vector segmentation is designed and implemented on account of disadvantage of once scanning.According to experiment,nested vector segmentation is used in knowledge extraction,it not only improves precision and recall,which resolves the problem of word in word radically,but also provides convenience to following syntactic analysis.