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<Paper uid="A00-2031">
  <Title>Assigning Function Tags to Parsed Text*</Title>
  <Section position="7" start_page="239" end_page="239" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> This work presents a method for assigning function tags to text that has been parsed to the simple label level. Because of the lack of prior research on this task, we are unable to compare our results to those of other researchers; but the results do seem promising. However, a great deal of future work immediately suggests itself: * Although we tested twenty or so feature trees besides the one given in figure 4, the space of possible trees is still rather unexplored. A more systematic investigation into the advantages of different feature trees would be useful.</Paragraph>
    <Paragraph position="1"> * We could add to the feature tree the values of other categories of function tag, or the function tags of various tree-relatives (parent, sibling).</Paragraph>
    <Paragraph position="2"> * One of the weaknesses of the lexical features is sparse data; whereas the part of speech is too coarse to distinguish 'by John' (LGS) from 'by Monday' (TMP), the lexical information may be too sparse. This could be assisted by clustering the lexical items into useful categories (names, dates, etc.), and adding those categories as an additional feature type.</Paragraph>
    <Paragraph position="3"> * There is no reason to think that this work could not be integrated directly into the parsing process, particularly if one's parser is already geared partially or entirely towards feature-based statistics; the function tag information could prove quite useful within the parse itself, to rank several parses to find the most plausible.</Paragraph>
  </Section>
class="xml-element"></Paper>