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<Paper uid="C96-2205">
  <Title>Redefining similarity in a thesaurus by using corpora</Title>
  <Section position="4" start_page="1132" end_page="1132" type="intro">
    <SectionTitle>
3 Evaluations
</SectionTitle>
    <Paragraph position="0"> First, we evaluate the obtained similarities by comparing them with the similarities in Bunruigoidlyou. The similarity in Bunrui-goi-hyou are defined by the level of the common parent node of two classes. Tab.2 shows the average of similarities between two classes, such that these two classes have the common parent node whose level is x in Bunrni-goi-hyou.</Paragraph>
    <Paragraph position="1"> Tab.2 shows that the larger the similarity in Bunrui-goi-hyou is, the larger the obtained similarity is. It follows that the obtained similarity is roughly similar to the similarity in Bunrui-goihyou. null Next, we evaluate the appropriateness of the first estimation. The average of &amp;quot;coefftcient of variation &gt;' for similarities used in each first cs&gt;l'he coefficient of variation is the stamtard deviation divided by the mean.</Paragraph>
    <Paragraph position="2"> the level of the  timation is 0.384. And the coetlicient of variation for all similarities measured by the corpus is 2.125. It follows that similarities used in first estimation are close to each other.</Paragraph>
    <Paragraph position="3"> At l~t, we evaluate the appropriateness of the obtained similarity by selecting a verbal meaning. In this experiment, to measure the similarity in Bunrui-goi-hyou and the similarity obtained by our method. Because the similarity in Bunrui-goi-hyou is rough, multiple answers may arise. In evaluation of the similarity in Bunrui-goi-hyou, we give a C) if the answer is unique and right, a A if the answers contain the right answer, and x if the answers don't contain the right answer. \[n evaluation of our similarities, we give a C) if the largest similarity is right, a A if 1st or 2ud largest; similarities is right answer, and x if neither of 1st and 2nd largest similarities is the right answer. Tab.1 shows the results of evaluations. \]'his table shows that the similarity obtained by our method is a little better than the similarity in Bunrui-goi-hyou.</Paragraph>
  </Section>
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