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<?xml version="1.0" standalone="yes"?> <Paper uid="W05-0610"> <Title>Using Uneven Margins SVM and Perceptron for Information Extraction</Title> <Section position="7" start_page="77" end_page="78" type="ackno"> <SectionTitle> Acknowledgements </SectionTitle> <Paragraph position="0"> This work is supported by the EU-funded SEKT project (http://www.sekt-project.org).</Paragraph> <Paragraph position="1"> small training sets: macro-averaged F1(%) on the two datasets CoNLL-2003 (development set) and Jobs. The uneven margins SVM (t = 0.4) is compared to the standard SVM model with even margins (t = 1). The standard deviations are presented for results on the Jobs dataset.</Paragraph> </Section> class="xml-element"></Paper>