【作者】 潘华山； 严馨； 余正涛； 郭剑毅；

【Author】 PAN Huashan;YAN Xin;YU Zhengtao;GUO Jianyi;School of Information Engineering and Automation, Kunming University of Science and Technology;Key Laboratory of Intelligent Information Processing, Kunming University of Science and Technology;

【机构】 昆明理工大学信息工程与自动化学院； 昆明理工大学智能信息处理重点实验室；

【摘要】 针对柬埔寨语命名实体的识别问题,提出一种在采用通用特征模板的基础上融合柬语实体特性的命名实体识别方法.对于时间、数字表达式等构成较固定的实体,通过人工制定规则进行识别;对于人名、地名、组织机构名等构成较复杂的实体,利用条件随机场学习算法,在采用词形、词性及其组合等特征之外,再将柬语实体的特有特性融入其中,构造复杂实体识别模型进行识别.实验表明,融合柬语实体特性的命名实体识别方法有较好的效果.更多还原

【Abstract】 Aiming at the problem of Khmer named entity recognition, we proposed a method fusing Khmer entitycharacteristics based on the universal feature templates. For the relatively stable entity that is formed of time expressionsand digital expressions, we recognize it using artificial rules; For the complex entity that is formed of names, locations,and organizations, we use Conditional Random Fields algorithm, taking word, part of speech, contextual information andKhmer entity characteristics into consideration, to build a complex entity recognition model to recognize it.Experimental results show that the named entity recognition method fusing Khmer entity characteristics has a bettereffect.更多还原