POST: Using Probabilities in Language Processing
Abstract
We report here on our experiments with POST (Part of Speech Tagger) to address problems of ambiguity and of understanding unknown words. Part of speech tagging, per se, is a well understood problem. Our paper reports experiments in three important areas: handling unknown words, limiting the size of the training set, and returning a set of the most likely tags for each word rather than a single tag. We describe the algorithms that we used and the specific results of our experiments on Wall Street Journal articles and on MUC terrorist messages.
Cite
Text
Meteer et al. "POST: Using Probabilities in Language Processing." International Joint Conference on Artificial Intelligence, 1991.Markdown
[Meteer et al. "POST: Using Probabilities in Language Processing." International Joint Conference on Artificial Intelligence, 1991.](https://mlanthology.org/ijcai/1991/meteer1991ijcai-post/)BibTeX
@inproceedings{meteer1991ijcai-post,
title = {{POST: Using Probabilities in Language Processing}},
author = {Meteer, Marie and Schwartz, Richard M. and Weischedel, Ralph M.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1991},
pages = {960-965},
url = {https://mlanthology.org/ijcai/1991/meteer1991ijcai-post/}
}