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<Paper uid="C94-2122">
  <Title>Automatic Recognition of Verbal Polysemy</Title>
  <Section position="9" start_page="767" end_page="767" type="concl">
    <SectionTitle>
8 Conclusion
</SectionTitle>
    <Paragraph position="0"> We have given a defilfition of polysemy from the viewl)oint of ('hLstering, ~tlt(l 1)rol)osed an overlttl)l)ilLg ('hLst('riug method which a utoma, tically recognises verbal 1)olysemies from a textual corpus. The signifi('anl fca.lure of our al)t)roach is that every Sel)~u'at(' meanhig of a word is recognised in terms of olh(u' words tlmt al)l)ea.r in the corl)us. \'Vh(,ther a word is polysenLous or not del)ends on whetlwr a set of oth(,r words exisfs whose lts~tge ('OlT(~Sl)Oll(Ls to OllP of {h(' lll('t/l\[ilt~S of a. 1)olys(qLIOllS word. As ~t l'Pslllt, ()ILl' lll(qhod ('all avoid human intuition in tlt(, judgelnent of distinct VCOI'(~ lltCallhlgS ~tll( |t, hlls, ~/lllllall illt('rv(qltlOlL.</Paragraph>
    <Paragraph position="1"> The results of the exl)eriments demonstrate the ap1)li('ability of autolnad(' medmd of recognition of pof },'b('lllOllS vPrl)s. WP lntve ('OLLdlL('t0d lllOro ('x1)Pl'illl(qlls by ('halLging t)al'alneters su('h as the threshold values for fl'e(luen(Jes (N&lt;,;) and m.'lt (mu(x,!/))in oI'dPI' tO see how these l)a.ranletel'S affect the l)erfornlml('( ~ of the ('lustering algorithm. We have also extended our techld(lUe to the disambiguation of word senses. Vfe hol)e lo report these results soon.</Paragraph>
  </Section>
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