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Article
Context-Based Question-Answering Evaluation
Special Interest Group for Information Retrieval
  • E. D. Liddy
  • Anne R. Diekema, Utah State University
  • O. Yilmazel
Document Type
Poster
Publisher
Association for Computing Machinery
Publication Date
1-1-2004
Abstract
We propose several context-based methods for text categorization. One method, a small modification to the PPM compression-based model which is known to significantly degrade compression performance, counter-intuitively has the opposite effect on categorization performance. Another method, called C-measure, simply counts the presence of higher order character contexts, and outperforms all other approaches investigated.
Comments
Originally published by the Association for Computing Machinery. Publisher's PDF is available through remote link.
DOI
10.1145/1008992.1009129
Citation Information
Liddy, E.D., Diekema, A.R., and Yilmazel, O. Context-Based Question-Answering Evaluation. In: Proceedings of the Special Interest Group for Information Retrieval. Sheffield, England, 2004.