基于姓氏用字驱动的混合中文姓名识别算法

中文姓名识别是信息抽取的一个重要研究内容,同时也对自然语言处理的其他应用具有重要意义.本文针对中文姓名构成的一般规律和特点,提出了一种姓氏用字驱动的统计与规则相结合的混合中文姓名识别算法,该算法以姓氏用字为线索,通过对前后文中汉字串成词的可能性的评价来进行姓名识别.对所提出的算法用144 K文本进行了实验测试,验证了它的有效性.     

Chinese multi-document personal name disambiguation

This paper presents a new approach to determining whether an interested personal name across doeuments refers to the same entity. Firstly,three vectors for each text are formed： the personal name Boolean vectors denoting whether a personal name occurs the text the biographical word Boolean vector representing title, occupation and so forth, and the feature vector with real values. Then, by combining a heuristic strategy based on Boolean vectors with an agglomeratie clustering algorithm based on feature vectors, it seeks to resolve multi-document personal name coreference. Experimental results show that this approach achieves a good performance by testing on ＂Wang Gang＂ corpus.