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<Paper uid="W06-0129">
  <Title>Character Language Models for Chinese Word Segmentation and Named Entity Recognition</Title>
  <Section position="8" start_page="171" end_page="171" type="evalu">
    <SectionTitle>
6 Results
</SectionTitle>
    <Paragraph position="0"> Official bakeoff results for the four word segmentation corpora are shown in Figure 3, and for the two named entity corpora in Figure 4. Column labels are R for recall, P for precision, F1 for balanced F-measure, Best F1 for the best closed system's F1 score, OOV for the out-of-vocabulary rate in the test corpus, and ROOV for recall on the out-of-vocabulary items. For the named-entity results, precision and recall are also broken down by category.</Paragraph>
  </Section>
class="xml-element"></Paper>