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<Paper uid="W97-0805">
  <Title>Lexical Discrimination with the Italian Version of WORDNET</Title>
  <Section position="8" start_page="36" end_page="37" type="concl">
    <SectionTitle>
6 Conclusions
</SectionTitle>
    <Paragraph position="0"> they are more detailed.</Paragraph>
    <Paragraph position="1"> Some general suggestions can be drawn in order to individuate a trade-of between the effort necessary for describing selectional restrictions and the lexical disambiguation obtained. Although the definition of detailed selectional restrictions was highly time comsuming, our experience shown that this approach obtains good results both in the discrimination rate and in the precision.</Paragraph>
    <Paragraph position="2"> In this paper we presented the approach underlying the Italian WoRDNET, a general computational lexical resource. A prototype has been realized which implements a multilingual lexical matrix. Data acquisition has been mostly manual with the help of a graphical interface.</Paragraph>
    <Paragraph position="3"> In light of the concrete use of the Italian WORDNET we propose the integration of selectional restrictions into the verbal taxonomy. An empirical verification has been performed which confirms the intuitive hypothesis that selectional restrictions crucially affect lexical disambiguation and that the discrimination rate improves as far as The experiment also brings evidence for a WORDNET like sense organization. In fact, different selectional restrictions apply to different senses allowing to discriminate among different readings. However, an important drawback in WoRDNET is the lack of relations among related senses of the same word. This is particularly crucial for the logzcal pohsemy cases \[Pustejovsky, 1995\], when a sense can be generated from another in a predictable way, and, in general, to treat the so called &amp;quot;verb mutability effect&amp;quot; as discussed in \[Gentner and France, 1988\].</Paragraph>
  </Section>
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