<?xml version="1.0" standalone="yes"?>
<Paper uid="C02-1047">
  <Title>Towards a Noise-Tolerant, Representation-Independent Mechanism for Argument Interpretationa0</Title>
  <Section position="8" start_page="0" end_page="0" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> We have offered a mechanism which produces interpretations of segmented NL arguments. Our application of the MML principle enables our system to handle noisy conditions in terms of wording, beliefs and argument structure, and allows us to isolate the effect of the underlying knowledge representation on the interpretation process. The results of our automated evaluation were encouraging, with inter-</Paragraph>
    <Paragraph position="2"> pretations that match perfectly or almost-perfectly the source-BN being generated in 75% of the cases under all noise conditions.</Paragraph>
  </Section>
class="xml-element"></Paper>