Unsupervised relation disambiguation using spectral clustering

  • Authors:
  • Jinxiu Chen;Donghong Ji;Chew Lim Tan;Zhengyu Niu

  • Affiliations:
  • Institute for Infocomm Research, Singapore;Institute for Infocomm Research, Singapore;National University of Singapore, Singapore;Institute for Infocomm Research, Singapore

  • Venue:
  • COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
  • Year:
  • 2006

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Abstract

This paper presents an unsupervised learning approach to disambiguate various relations between name entities by use of various lexical and syntactic features from the contexts. It works by calculating eigen-vectors of an adjacency graph's Laplacian to recover a submanifold of data from a high dimensionality space and then performing cluster number estimation on the eigenvectors. Experiment results on ACE corpora show that this spectral clustering based approach outperforms the other clustering methods.