POST: Using Probabilities in Language Processing
Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Natural Language. Pages 960-964.
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.
@inproceedings{ijcai1991p141,
title = {POST: Using Probabilities in Language Processing},
author = {Meteer, Marie and Schwartz, Richard M. and Weischedel, Ralph M.},
booktitle = {Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence, {IJCAI-91}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John Mylopoulos and Ray Reiter},
pages = {960--964},
year = {1991},
month = {8},
note = {Natural Language},
url = {https://ijcai.org/proceedings/1991/141},
}
TY - CPAPER TI - POST: Using Probabilities in Language Processing AU - Meteer, Marie AU - Schwartz, Richard M. AU - Weischedel, Ralph M. T2 - Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91 PB - International Joint Conferences on Artificial Intelligence PY - 1991 SP - 960 EP - 964 UR - https://ijcai.org/proceedings/1991/141 ER -Copied
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