<?xml version="1.0" standalone="yes"?>
<Paper uid="W03-1207">
  <Title>Discovery of Manner Relations and their Applicability to Question Answering</Title>
  <Section position="9" start_page="0" end_page="0" type="concl">
    <SectionTitle>
8 Conclusions
</SectionTitle>
    <Paragraph position="0"> The method presented in this paper for the detection and validation of manner relations is automatic and novel. We combined lexical, syntactic and semantic features for a more accurate learning.</Paragraph>
    <Paragraph position="1"> Naive Bayes Classifier assumes feature independence. Here, features 1 and 4 are independent, the rest are dependent on each other. This is the reason for 65-70% precision and recall. By using some heuristics like removing unambiguous adverbs these were helped. The improvement made in the second experiment is significant because if an adverb like now, or moreover is included in the negative examples, then other features which contribute to a positive example are nullified and the decision becomes less precise. For example, apparently attaches to VP and VP usually occurs in a positive class, and the inclusion of this example in the negative example reduces the estimates of VP to contribute to positive examples.</Paragraph>
    <Paragraph position="2"> The Naive Bayes Classifier, though over-simplified by the independence assumption, proved to be a good classifier in the document classification and also promises to be a useful method for the discovery of semantic relations.</Paragraph>
  </Section>
class="xml-element"></Paper>