计算机与数字工程2011，Vol.39Issue(7)：72-74,165,4.
受限领域中最长地点实体提及的提取研究
Research on Extraction of Maximal Location Entity Mention Based on Limited Field
摘要
Abstract
Entities are basic units of event information, and playing an important role in event In the field of natural language processing, entity recognition is the key technique in many Chinese information processing applications such as information extraction, syntactic analysis, machine translation, text comprehension and so oa Special nesting phenomena of Chinese constituents determine the complexity of the entity, and there are many kinds of expression in the location entity, and the methods of the named entity recognition can't get a good result in the location entity recognition. So, in order to auto extract location entity, this paper artificially annotated 325 news, and statistically analyse appear characteristics of this loca-tioa Based on the result of analyze, a viable extract method is developed.关键词
实体/事件/最长地点实体/提取Key words
entity/ event/ maximal location entity/ extraction分类
信息技术与安全科学引用本文复制引用
高燕,刘娟..受限领域中最长地点实体提及的提取研究[J].计算机与数字工程,2011,39(7):72-74,165,4.基金项目
广东省自然科学基金项目(编号:9151027501000039)资助. （编号:9151027501000039）
