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<Paper uid="P06-3015">
  <Title>Clavius: Bi-Directional Parsing for Generic Multimodal Interaction</Title>
  <Section position="7" start_page="89" end_page="89" type="evalu">
    <SectionTitle>
5 Remarks
</SectionTitle>
    <Paragraph position="0"> CLAVIUS consistently ignores over 92% of dysfluencies (eg. &amp;quot;uh&amp;quot;) and significant noise events in tracking, apparently as a result of the partial qualifications discussed in SS1.2.3, which is especially relevant in noisy environments. Early unquantified observation also suggests that a result of unordered constituents is that parses incorporating lead words - head nouns, command verbs and pointing gestures in particular - are emphasised and form sentence-level parses early, and are later 'filled in' with function words.</Paragraph>
    <Section position="1" start_page="89" end_page="89" type="sub_section">
      <SectionTitle>
5.1 Ongoing Work
</SectionTitle>
      <Paragraph position="0"> There are at least four avenues open to exploration in the near future. First, applying the parser to directed two-party dialogue will explore context-sensitivity and a more complex grammar. Second, the architecture lends itself to further parallelism - specifically by permitting P &gt; 1 concurrent processing units to dynamically decide whether to employ the GENERALISER or SPECIFIER, based on the sizes of shared active subspaces.</Paragraph>
      <Paragraph position="1"> We are also currently working on scoring modules that incorporate language modelling (with discriminative training), and prosody-based co-analysis. Finally, we have already begun work on automatic methods to train scoring parameters, including the distribution of oi, and modulespecific training.</Paragraph>
    </Section>
  </Section>
class="xml-element"></Paper>