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<?xml version="1.0" standalone="yes"?> <Paper uid="C96-2190"> <Title>Prepositional Phrase Attachment Through A Hybrid Disambiguation Model</Title> <Section position="9" start_page="1071" end_page="1071" type="concl"> <SectionTitle> 7 Conclusion </SectionTitle> <Paragraph position="0"> Pure statisticM models for disalnl)iguation tltsks Sll~'('l' fl'Olll sparse-data 1)robh'nL ~V(' ltot('(l that even when ai)plying smooth t('chniques such as senuultic sinfilarity or (:lustering, it is hard to avoid malting poor est;ilnat.iol~s Oil low OCCltrr(ulces ill corpora. ()nqine dictionaries wlfich contain rich semantic or concel)tual information ml W be of help in improving the perforlnan('e. ()ur exl)erimcnt shows tha, t the hybrid al)proach we taken is both effectiv(, and a.1)l)li('able ill practice.</Paragraph> </Section> class="xml-element"></Paper>