命名实体情报挖掘方法研究及其在图书馆中的发展

Research on the Method of Named Entity Information Mining and Its Development in the Library

各学科领域内相关命名实体情报挖掘是文本处理的重要方法之一。精确的相关命名实体情报挖掘是后续实体关系、事实抽取或文本分类等工作的基础。本文梳理和总结了命名实体的定义及特征,对基于不同方法的命名实体情报挖掘方法和系统研究现状进行了剖析,指出了命名实体情报挖掘在自然语言处理、图书馆知识管理及其他领域的应用,最后从构建命名实体资源库、研究不依赖资源库的算法和知识获取的自动化研究等方面提出了建议。

Information mining of related named entities in various fields is one of the important methods for text processing.Accurate named entity information mining is the basic work of following entity relation,fact extraction,text classification and so on.In this article,the definition and characteristics of named entities are described.The variant methods underlying most NER system are sketched.The rich application in NLP,library knowledge management and other fields are pointed.And some suggestions on constructing the named entity resource library,studying the algorithm of independent repository and automation research of knowledge acquisition are given.