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<?xml version="1.0" standalone="yes"?> <Paper uid="W01-0508"> <Title>Using Bins to Empirically Estimate Term Weights for Text Categorization</Title> <Section position="1" start_page="0" end_page="0" type="abstr"> <SectionTitle> References </SectionTitle> <Paragraph position="0"> F. Jelinek. 1998. Statistical Methods for Speech recognition. MIT Press.</Paragraph> <Paragraph position="1"> T. Joachims. 1998. Text categorization with support vector machines: Learning with many relevant features. ECML. S. Katz. 1996. Distribution of content words and phrases in text language modeling.</Paragraph> <Paragraph position="2"> D. Lewis. 1997. Reuters-21578 text categorization test collection, readme file (ver. 1.2) D. Lewis 1998. Naive (Bayes) at forty: The independence assumption in IR. ECML.</Paragraph> <Paragraph position="3"> A. McCallum. 1996. Bow: A toolkit for statistical language modeling, text retrieval, classification, and clustering. C. Sable and V. Hatziassiloglou. 2000. Test-based approaches for non-topical image categorization. International Journal of Digital Libraries. C. Sable. 2000. Categorizing multimedia documents using associated text (thesis proposal).</Paragraph> <Paragraph position="4"> G. Salton and C. Buckley. 1988. Term weighting approaches in automatic text retrieval. Information Processing and Management. G. Salton. 1989. Automatic Text Processing: The Transformation, analysis, and retrieval of information by computer. Addison-Wesley. R. Schapire and Y. Singer. 2000. Boostexter: A boosting-based system for text categorization. Machine Learning.</Paragraph> <Paragraph position="5"> K. Umemura and K. W. Church. 2000. Empirical term weighting and expansion frequency. EMNLP/VLC 2000.</Paragraph> <Paragraph position="6"> C. J. van Rijsbergen. 1979. Information Retrieval. Butterworths.</Paragraph> <Paragraph position="7"> Y. Lang and X. Liu. 1999. A re-examination of text categorization models. SIGIR 1999.</Paragraph> </Section> class="xml-element"></Paper>