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<Paper uid="P06-2057">
  <Title>Sydney, July 2006. c(c)2006 Association for Computational Linguistics A FrameNet-based Semantic Role Labeler for Swedish</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We present a FrameNet-based semantic role labeling system for Swedish text. As training data for the system, we used an annotated corpus that we produced by transferring FrameNet annotation from the English side to the Swedish side in a parallel corpus. In addition, we describe two frame element bracketing algorithms that are suitable when no robust constituent parsers are available.</Paragraph>
    <Paragraph position="1"> We evaluated the system on a part of the FrameNet example corpus that we translated manually, and obtained an accuracy score of 0.75 on the classification of pre-segmented frame elements, and precision and recall scores of 0.67 and 0.47 for the complete task.</Paragraph>
  </Section>
class="xml-element"></Paper>