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<Paper uid="C96-1064">
  <Title>Resolving syntactic ambiguities with lexico-semantic patterns: an analogy-based approach(*)</Title>
  <Section position="3" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1 Introduction
</SectionTitle>
    <Paragraph position="0"> In this pal)e.r, a syst(;n, for the resolut;ion of syn-Ca.el;i(: ambiguities is illusl:rated: Se,SOK- the SEl:naNtic Sul)je(:l;-OI)j('x:l: (lisaml)igua.(.ol{- ()perales o,t n,orpho., synl;a.cth:a.lly aml)iguous sul)jectobject assignmenl.s in I t;a.lia.n a.,(l tries to tind the most likely analysis I)y using the (widence conta.ined in a. knowhxlge ba.se of linguistic da.ta, automa.t.ically e.xtra.(::ted firom machine reada.I)le (lictiouaries (Ml{.I)s), bolJ~ ta,xo, lomie in\['orma.tion and ('xaml)le s(mt;e.(:es. The syste, n works on the I)a, sis of a set o\[' st.ra.ightforwa.rd a\]m.logy-lm.sed 1)tin ciples whi(:h ha.ve I)e(m used for a wide range of NLI ) a.lfl)licatio,s (I)irrelli el: a.l., 1!).()2; Montemagni et a.l., 1994; I,'e.derici et al., 19()6). Both inherent semanti(: l)rOl)erdes of words (as embodied by taxonomical relationships) and word (listri-I)utiona.l l)rOperties (as a.ttest&lt;;(I in cxanq)le sentences) are exl)loited as a clue l;o the most likely '1 b.lecI. {.)l&gt;j(,,t. /~8~iglltttc:n(. (S()A).</Paragraph>
    <Paragraph position="1"> We start, with a.n illustration of the pa.rsing problem, I:o move on to a (:onsideratio. o\[' the nature of the lexieo-sema.ntic knowledge usa.Me for its solution. SenS()l/.'s Knowledge Ba.se (KI3) is then described, l.ogel, her with the fimcdon which projects mnbiguous SOAs onto KB in the search for the best ca.ndidate a.mdogue.. 'Pwo (liffere.nl; tests of S(mSOll.'s perforln~mce are illustra.ted and discussed in some detail. I,'inaJly, further improvements a.re sketched a.nd other possible a.pplic~-~tions of tlm system envisaged.</Paragraph>
  </Section>
class="xml-element"></Paper>
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