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

I
ICDM
2001
First IEEE International Conference on Data Mining (ICDM'01)
Abstract - Learning Automatic Acquisition of Subcategorization Frames Using Bayesian Inference and Support Vector Machines

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First IEEE International Conference on Data Mining (ICDM'01)

San Jose, California

November 29-December 02

ISBN: 0-7695-1119-8

	ASCII Text	x
	M. Maragoudakis, K. Kermanidis, N. Fakotakis, G. Kokkinakis, "Learning Automatic Acquisition of Subcategorization Frames Using Bayesian Inference and Support Vector Machines," Data Mining, IEEE International Conference on, pp. 623, First IEEE International Conference on Data Mining (ICDM'01), 2001.

	BibTex	x
	@article{ 10.1109/ICDM.2001.989583, author = {M. Maragoudakis and K. Kermanidis and N. Fakotakis and G. Kokkinakis}, title = {Learning Automatic Acquisition of Subcategorization Frames Using Bayesian Inference and Support Vector Machines}, journal ={Data Mining, IEEE International Conference on}, volume = {0}, year = {2001}, isbn = {0-7695-1119-8}, pages = {623}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2001.989583}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Mining, IEEE International Conference on TI - Learning Automatic Acquisition of Subcategorization Frames Using Bayesian Inference and Support Vector Machines SN - 0-7695-1119-8 SP EP A1 - M. Maragoudakis, A1 - K. Kermanidis, A1 - N. Fakotakis, A1 - G. Kokkinakis, PY - 2001 VL - 0 JA - Data Mining, IEEE International Conference on ER -

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2001.989583

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.

Citation:

M. Maragoudakis, K. Kermanidis, N. Fakotakis, G. Kokkinakis, "Learning Automatic Acquisition of Subcategorization Frames Using Bayesian Inference and Support Vector Machines," icdm, pp.623, First IEEE International Conference on Data Mining (ICDM'01), 2001

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