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EACL
2003
ACL Anthology

Neural Network Probability Estimation for Broad Coverage Parsing

8 years 4 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-corner parsing, and these parameters are used to search for the most probable parse. The parser’s performance (88.8% Fmeasure) is within 1% of the best current parsers for this task, despite using a small vocabulary size (512 inputs). Crucial to this success is the neural network architecture’s ability to induce a finite representation of the unbounded parse history, and the biasing of this induction in a linguistically appropriate way.
James Henderson
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where EACL
Authors James Henderson
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