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ACL
2004
13 years 6 months ago
Discriminative Training of a Neural Network Statistical Parser
Discriminative methods have shown significant improvements over traditional generative methods in many machine learning applications, but there has been difficulty in extending th...
James Henderson
EACL
2003
ACL Anthology
13 years 6 months ago
Neural Network Probability Estimation for Broad Coverage Parsing
We present a neural-network-based statistical parser, trained and tested on the Penn Treebank. The neural network is used to estimate the parameters of a generative model of left-...
James Henderson
NAACL
2003
13 years 6 months ago
Inducing History Representations for Broad Coverage Statistical Parsing
We present a neural network method for inducing representations of parse histories and using these history representations to estimate the probabilities needed by a statistical le...
James Henderson
TNN
1998
92views more  TNN 1998»
13 years 4 months ago
Inductive inference from noisy examples using the hybrid finite state filter
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
Marco Gori, Marco Maggini, Enrico Martinelli, Giov...
FLAIRS
2000
13 years 6 months ago
Systematic Treatment of Failures Using Multilayer Perceptrons
This paper discusses the empirical evaluation of improving generalization performance of neural networks by systematic treatment of training and test failures. As a result of syst...
Fadzilah Siraj, Derek Partridge