Extraction of Text Phrases Using Hierarchical Grammar

Authors:
Jan Bakus;Mohamed S. Kamel;Tom Carey
Affiliations:
-;-;-
Venue:
AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Year:
2002

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Abstract

This paper presents an algorithm for extraction of phrases from text documents. The algorithm builds phrases by iteratively merging bigrams according to an association measure.Tw o association measures are presented: mutual information and t-test. The extracted phrases are tested in a document classification task using a tf/idf model and a k-nearest neighbor classifier.