计算机科学 ›› 2017, Vol. 44 ›› Issue (5): 241-244.doi: 10.11896/j.issn.1002-137X.2017.05.043

• 人工智能 • 上一篇    下一篇

一种中文事件事实性识别方法

何天雄,李培峰,朱巧明   

  1. 苏州大学计算机科学与技术学院 苏州215006,江苏省计算机信息处理技术重点实验室 苏州215006,江苏省计算机信息处理技术重点实验室 苏州215006
  • 出版日期:2018-11-13 发布日期:2018-11-13
  • 基金资助:
    本文受国家自然科学基金(61472265),国家自然科学基金重点项目(61331011),江苏省前瞻性联合研究项目(BY2014059-08),软件新技术与产业化协同创新中心部分资助

Approach to Identify Chinese Event Factuality

HE Tian-xiong, LI Pei-feng and ZHU Qiao-ming   

  • Online:2018-11-13 Published:2018-11-13

摘要: 事件事实性指出了事件发生与否的确定性程度,是自然语言理解的基础。在研究过程中,针对中文事件的事实性识别问题,提出了一种基于特征工程的有效识别方法。该方法选取事件的事实性相关信息进行特征的处理和转化。同时,考虑到部分特征与事件事实性之间的联系,依据规则进行特征融合。实验证明,相比基于规则的事件事实性识别方法,该方法有着更好的识别效果。

关键词: 事件事实性,识别方法,特征的转化和融合

Abstract: Event factuality refers to the level of event factual information expressed by event narrator and it is the foundation of natural language understanding.During the research,we focused on identifying Chinese event factuality and proposed an effective identification approach based on features.It extracts and transforms features from the factual related information.Meanwhile,considering the relationship between parts of features and event factuality,it makes a fusion of these features according to rules.Experimental results manifest that our approach achieves a higher performance than the rule-based approach for the task of event factuality identification.

Key words: Event factuality,Identification approach,Feature transformation and fusion

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