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计算机科学 ›› 2015, Vol. 42 ›› Issue (5): 98-105.doi: 10.11896/j.issn.1002-137X.2015.05.020

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基于知识图的观点句识别算法研究

程显毅,刘 颖   

  1. 南通大学计算机科学与技术学院 南通226019,江苏大学计算机科学与通信工程学院 镇江212013
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金(61340037,61171132)资助

Research on Algorithm of Perspective Sentence Identification Based on Knowledge Map

CHENG Xian-yi and LIU Ying   

  • Online:2018-11-14 Published:2018-11-14

摘要: 针对观点句的特点提出了适合观点句识别的特征抽取规则。在此基础上,融合图论中最小割原理和机器学习分类方法,引入知识图的概念,并提出了基于知识图的观点句识别算法。以公开评测语料、自建语料和开放语料进行了相关实验,结果表明:基于知识图的观点句识别算法的分类性能和稳定性有明显优势。

Abstract: Aiming at the characteristics of the perspective sentence,knowledge rule was proposed that is suitable for perspective sentence identification.On this basis,we mixed the minimum cut principle of graph theory with machine learning classification method,introduced the concept of knowledge map,and proposed a algorithm of sentence recognition based on the knowledge map.In public evaluation corpus,self-builted corpora and open corpus,we conducted related experiment and the experimental results show that the perspective sentence classification performance and stability of the recognitioned algorithm based on the knowledge map have obvious advantages.

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