节点文献
自然语言处理中专名识别方法的研究
Research on Recognition of Named Entities in Natural Language Processing
【Author】 Zhang Yuejie, Xu Zhiting, Qian Jing ,Zhang Tao Department of Computer Science & EngineeringFudan University, Shanghai (200433) School of Information Management & Engineering, Shanghai University of Finance & Economics, Shanghai (200433)
【机构】 复旦大学计算机科学与工程系; 上海财经大学信息管理与工程学院;
【摘要】 专有名词的识别在针对各国语言的自然语言处理系统中都是一个具有挑战性和研究意义的课题。目前已有多种专名识别的方法,基于各自的出发点,各有利弊。本文对这些方法作了大致的分类和概述,目的是为了阐明专名识别问题的本质要求以及研究现状,为进一步的研究工作作以铺垫,希望能使此领域内其他研究者有所借鉴。
【Abstract】 In the natural language processing systems for any kind of natural language, the recognition of Named Entities is a challenging and meaningful subject. Nowadays there are many approaches for NE recognition. These approaches are based on different foundations or aims, and respectively have their own advantage and disadvantage. This paper gives a brief overview and classification of these approaches, attempting to illustrate the very nature of the NE recognition problem and the achievements of current research work as a preparation for further work, which will be helpful to other researchers in this field.
【Key words】 Natural Language Processing (NLP); Named Entity Recognition (NE Recognition); unknown words recognition; proper noun;
- 【会议录名称】 中文信息处理前沿进展——中国中文信息学会二十五周年学术会议论文集
- 【会议名称】中国中文信息学会二十五周年学术会议
- 【会议时间】2006-11
- 【会议地点】中国北京
- 【分类号】TP391.1
- 【主办单位】中国中文信息学会