• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2015, Vol. 37 ›› Issue (04): 806-812.

• 论文 • 上一篇    下一篇

基于语义规则的中文矛盾关系识别方法

刘茂福,王月,顾进广   

  1. (1.武汉科技大学计算机科学与技术学院,湖北 武汉 430065;
    2.湖北省智能信息处理与实时工业系统重点实验室,湖北 武汉 430065)
  • 收稿日期:2013-12-17 修回日期:2014-04-18 出版日期:2015-04-25 发布日期:2015-04-29
  • 基金资助:

    国家自然科学基金资助项目(61100133,61173062);国家社会科学基金重大项目(11&ZD189);湖北省重点实验室开放基金资助项目(znss2013B014)

Chinese textual contradiction recognition based on semantic rules 

LIU Maofu,WANG Yue,GU Jinguang   

  1. (1.College of Computer Science and Technology,Wuhan University of Science and Technology,Wuhan 430065;
    2.Hubei Province Key Laboratory of Intelligent Information Processing and Realtime Industrial System,Wuhan 430065,China)
  • Received:2013-12-17 Revised:2014-04-18 Online:2015-04-25 Published:2015-04-29

摘要:

文本蕴涵是文本理解与语义推理的基础,近来在计算机语言领域受到了极大关注。矛盾关系是蕴涵关系的一种否定,二者都是语义学的主要研究内容。在文本蕴涵关系识别的基础之上,研究了如何识别文本矛盾关系,提出了一种基于语义规则的矛盾检测方法。实验表明,基于语义规则的矛盾检测方法对于中文矛盾关系识别是可行的,同时矛盾关系相对精确的识别也增强了文本蕴涵识别的准确性。

关键词: 文本蕴涵, 矛盾, 统计特征, 语义规则

Abstract:

Text entailment is foundational for text understanding and semantic inference,and recently it has attracted considerable attention in the computational linguistics community.Text contradiction is a negation of text entailment and both of them are the key aspects of semantics.In this paper,we aim to address the problem of textual contradiction detection on the basis of textual entailment,and a textual contradiction recognition approach based on semantic rules is proposed to tackle this problem.Experimental results demonstrate the effectiveness and feasibility of the textual contradiction recognition approach,which can also significantly improve the performance of textual entailment recognition.

Key words: text entailment;contradiction;statistical feature;semantic rules