【作者】 周强； 王俊俊； 陈丽欧；

【Author】 Zhou Qiang~1,Wang Junjun~2,Chen Liou~2 1 Center for Speech and Language Technology,Research Institute of Information Technology 1 Tsinghua National Laboratory of Information Science and Technology 2 Department of Computer Science and Technology,Tsinghua University,Beijing 100084

【机构】 清华大学信息技术研究院语音和语言技术中心； 清华信息科学与技术国家实验室； 清华大学计算机科学与技术系；

【摘要】 随着互联网的迅猛发展,大量的信息以文本的形式快速涌现。对海量文本进行信息的深度挖掘离不开高质量的事件内容分析技术,而这些技术的开发又需要高质量的事件语义标注资源支持。本文提出了一个构建大规模汉语事件知识库的可行方案。实验证明,我们的方案能很好地解决事件知识库"可操作性,可计算性,可扩展性"问题。既可以在较少的投入条件下,"小而精"地解剖一个局部问题,又可以方便扩展到更大的领域和更多的应用中。更多还原

【Abstract】 With the rapid development of Internet,large quantities of information appear in the form of e-text Mining deep information in mass texts is inseparable from high-quality event content analysis technology.And these technologies need the support of high-quality annotated resources of event semantics.This paper presents a solution on how to build a large-scale Qiinese Event Knowledge Base.Some primitive experiments have shown that our approach can deal with the problems of operability,computability and scalability in developing a large-scale semantic knowledge base.Under limited conditions,we can describe the event knowledge in a small local domain easily and excellently.Also,it can be easily extended to larger areas and more applications.更多还原