Feature Lattices for Maximum Entropy Modelling (1998)
| Venue: | In Proc. of ACL-COLING |
| Citations: | 27 - 5 self |
BibTeX
@INPROCEEDINGS{Mikheev98featurelattices,
author = {Andrei Mikheev},
title = {Feature Lattices for Maximum Entropy Modelling},
booktitle = {In Proc. of ACL-COLING},
year = {1998},
pages = {848--854}
}
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Abstract
Maximum entropy framework proved to be ex-pressive and powerful for the statistical lan-guage modelling, but it suffers from the com-putational expensiveness of the model build-ing. The iterative scaling algorithm that is used for the parameter estimation is computation-ally expensive while the feature selection pro-cess might require to estimate parameters for many candidate features many times. In this paper we present a novel approach for building maximum entropy models. Our approach uses the feature collocation lattice and builds com-plex candidate features without resorting to it-erative scaling. 1
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