Rule-based word clustering for text classification

Authors:
Hui Han;Eren Manavoglu;C. Lee Giles;Hongyuan Zha
Affiliations:
The Pennsylvania State University University Park, PA;The Pennsylvania State University University Park, PA;The Pennsylvania State University University Park, PA;The Pennsylvania State University University Park, PA
Venue:
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Year:
2003

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Abstract

This paper introduces a rule-based, context-dependent word clustering method, with the rules derived from various domain databases and the word text orthographic properties. Besides significant dimensionality reduction, our experiments show that such rule-based word clustering improves by 8 the overall accuracy of extracting bibliographic fields from references, and by 18.32 on average the class-specific performance on the line classification of document headers.