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<Paper uid="W02-2007">
  <Title>Language Independent NER using a Unified Model of Internal and Contextual Evidence</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper investigates the use of a language independent model for named entity recognition based on iterative learning in a co-training fashion, using word-internal and contextual information as independent evidence sources. Its bootstrapping process begins with only seed entities and seed contexts extracted from the provided annotated corpus.</Paragraph>
    <Paragraph position="1"> F-measure exceeds 77 in Spanish and 72 in Dutch.</Paragraph>
  </Section>
class="xml-element"></Paper>