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Feature Selection for a Rich HPSG Grammar Using Decision Trees

Toutanova, Kristina and Manning, Christopher (2002) Feature Selection for a Rich HPSG Grammar Using Decision Trees. In: Sixth Conference on Natural Language Learning (CoNLL-2002), August 31 - September 1, 2002 , Taipei, Taiwan.




This paper examines feature selection for log linear models over rich constraint-based grammar (HPSG) representations by building decision trees over features in corresponding probabilistic context free grammars (PCFGs). We show that single decision trees do not make optimal use of the available information; constructed ensembles of decision trees based on different feature subspaces show significant performance gains (14% parse selection error reduction). We compare the performance of the learned PCFG grammars and log linear models over the same features.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:statistical parsing models, unification grammars
Related URLs:Project Homepage
ID Code:570
Deposited By:Import Account
Deposited On:19 Jan 2003 16:00
Last Modified:25 Dec 2008 10:15

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