Learning Automatic Acquisition of Subcategorization Frames Using Bayesian Inference and Support Vector Machines

  • Authors:

  • Manolis Maragoudakis;K. Kermanidis;Nikos Fakotakis;George K. Kokkinakis

  • Affiliations:

  • -;-;-;-

  • Venue:
  • ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
  • Year:
  • 2001

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Abstract

Learning Bayesian Belief Network (BBN) from corpora and Support Vector Machines (SVM) have been applied to the automatic acquisition of verb subcategorization frames for Modern Greek.We are incorporating minimal linguistic resources, i.e. basic morphological tagging and phrase chunking, to demonstrate that verb subcategorization, which is of great significance for developing robust natural language human computer interaction systems, could be achieved using large corpora, without having any general-purpose syntactic parser at all.