计算机科学 ›› 2010, Vol. 37 ›› Issue (12): 149-155.

• 人工智能 • 上一篇    下一篇

相关事件挖掘与角色联系发现的研究

彭会良,曹存根   

  1. (首都师范大学计算机科学联合研究院 北京100037);(中国科学院计算技术研究所 北京100080)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家自然科学基金(60573063,60773059)和中国高技术研究发展计划(863)(2007AA01Z325)资助。

Research on Mining of Associated Events and Discovery of Roles Relationship

PENG Hui-liang,CAO Cun-gen   

  • Online:2018-12-01 Published:2018-12-01

摘要: 许多研究人员认为人们是以事件为单位来体验和认识世界的。以动词为核心的事件,把实体概念有机地联系、组织起来,在丰富实体概念间静态联系的同时,也构成了用以表示动态过程的基本单元。但是,事件知识却不容易从文本中直接获取。提出了一个以一个事件作为核心挖掘与之相关联的事件的方法。该方法在充分利用句法分析的基础之上,从二元词语扩展到语义更丰富的多个词语,挖掘到了相关的事件短语。在此基础上,机器标注了事件短语的人物角色,最终发现了相关事件与核心事件间的角色联系。实验结果显示,提出的方法从受限的文本语料里得到了大量的相关事件和角色联系,并取得了较高的准确率。

关键词: 事件,相关事件,角色联系,知识获取

Abstract: Many researchers hold this option that event accords with human normal cognitive rules and is the basic unit of human cognition. It is event which uses a verb as event core that constitutes the basic unit of dynamic process description while putting the entity concepts into organic links and organization to enrich static contact between them. But knowledge of event can not easily and directly acctuire from text. A method based on one event as core event to mine events which arc associated with the core event was proposed. It acquired associated event's chunks by extend binary words to multiple more semantic words on the basis of the full use of parsing, and then tagged role of the event's chunk and finally discovered roles relationship between of associated event and core event. The experimental results show that the proposed method has acquired considerable associated events and roles relationships from restricted corpus and has achieved a higher precision.

Key words: Event, Associated event, Roles relationship, Knowledge acquisition

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