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Splitting Algorithms and Recovery Rules for Zero Anaphora Resolution in Korean Complex Sentences  

Kim, Mi-Jin (Dept.of Computer Engineering, Kyungpook National University)
Park, Mi-Sung (Dept.of Computer Engineering, Kyungpook National University)
Koo, Sang-Ok (Dept.of Computer Engineering, Kyungpook National University)
Kang, Bo-Yeong (Dept.of Computer Engineering, Kyungpook National University)
Lee, Sang-Jo (Dept.of Computer Engineering, Kyungpook National University)
Abstract
Zero anaphora occurs frequently in Korean complex sentences, and it makes the interpretation of sentences difficult. This paper proposes splitting algorithms and zero anaphora recovery rules for the purpose of handling zero anaphora, and also presents a resolution methodology. The paper covers quotations, conjunctive sentences and embedded sentences out of the complex sentences shown in the newspaper articles, with an exclusion of embedded sentences of auxiliary verb. We manage the quotations using the equivalent noun phrase deletion rule according to subject person constraint, the nominalized embedded sentences using the equivalent noun phrase deletion rule, the adnominal embedded sentences using the relative noun phrase deletion rule and the conjunctive sentences using the conjunction reduction rule in reverse. The classified table of the endings which relate to a formation of the complex sentences is used for splitting the complex sentences, and the syntactic rules, applied when being omitted, are used in reverse for recovering zero anaphora. The presented rule showed the result of 83.53% in perfect resolution and 11.52% in partial resolution.
Keywords
zero anaphora; splitting algorithms; recovery rules; The classified table of the endings; the syntactic rules;
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Times Cited By KSCI : 1  (Citation Analysis)
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