7 search results - page 1 / 2 » Neural Network Probability Estimation for Broad Coverage Par... |
EACL
2003
ACL Anthology
13 years 5 months ago
2003
ACL Anthology
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-...
NAACL
2003
13 years 5 months ago
2003
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...
AIIA
2001
Springer
13 years 9 months ago
2001
Springer
This paper presents a novel method for wide coverage parsing using an incremental strategy, which is psycholinguistically motivated. A recursive neural network is trained on treeba...
ACL
2004
13 years 5 months ago
2004
Discriminative methods have shown significant improvements over traditional generative methods in many machine learning applications, but there has been difficulty in extending th...
TNN
2011
12 years 11 months ago
2011
—Prediction intervals (PIs) have been proposed in the literature to provide more information by quantifying the level of uncertainty associated to the point forecasts. Traditiona...