Handling Sparse Data by Successive Abstraction (1996)
by
Christer Samuelsson
| Venue: | In Proc. of the International Conference on Computational Linguistics (COLING'96 |
| Citations: | 12 - 2 self |
BibTeX
@INPROCEEDINGS{Samuelsson96handlingsparse,
author = {Christer Samuelsson},
title = {Handling Sparse Data by Successive Abstraction},
booktitle = {In Proc. of the International Conference on Computational Linguistics (COLING'96},
year = {1996},
pages = {895--900}
}
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Abstract
A general, practical method for handling sparse data that avoids held-out data and iterative rccstimation is derived from first principles. It has been tested on a part-of-speech tagging task and out- performed (deleted) interpolation with context-independent weights, even when the latter used a globally optimal parameter setting determined a posterJori.
Citations
| 574 | Estimation of probabilities from sparse data for the language model component of a speech recognizer - Katz - 1987 |
| 422 | An Inequality and Associated Maximization Technique in Statistical Estimation of a Markov Process - Baum - 1972 |
| 286 | The population frequencies of species and the estimation of population parameters - Good - 1953 |
| 286 | Interpolated estimation of Markov source parameters from sparse data - Jelinek, Mercer - 1980 |
| 148 | Grammatical category disambiguation by statistical optimization - DeRose - 1988 |
