Automatic construction of a lexical attribute knowledge base

  • Authors:
  • Jinglei Zhao;Yanbo Gao;Hui Liu;Ruzhan Lu

  • Affiliations:
  • Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China;Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China;Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China;Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China

  • Venue:
  • KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper proposes a method to automatically construct a common-sense attribute knowledge base in Chinese. The method first makes use of word formation information to bootstrap an initial attribute set from a machine readable dictionary and then extending it iteratively on the World Wide Web. The solving of the defining concepts of the attributes is modeled as a resolution problem of selectional preference. The acquired attribute knowledge base is compared to HowNet, a hand-coded lexical knowledge source. Some experimental results about the performance of the method are provided.