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dc.contributor.authorYeh, PJen_US
dc.contributor.authorYuan, SMen_US
dc.date.accessioned2014-12-08T15:41:35Z-
dc.date.available2014-12-08T15:41:35Z-
dc.date.issued2003-01-01en_US
dc.identifier.isbn3-540-20589-6en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/11536/28272-
dc.description.abstractDetecting Mandarin question sentences is both interesting and difficult. To tackle this new topic, our strategy is first to try to increase recall and then precision. To achieve higher recall, we not only review relevant linguistic literature but also re-examine relevant issues from a new statistical and corpus point of view, and discover more comprehensive and precise question-related words than before. Next we present our statistical approaches and procedure, and discuss our findings. We achieve good recall and modest precision in the preliminary study, and pioneer the computational study of indefinitives.en_US
dc.language.isoen_USen_US
dc.titleMandarin question sentence detection: A preliminary studyen_US
dc.typeArticle; Proceedings Paperen_US
dc.identifier.journalPROGRESS IN ARTIFICIAL INTELLIGENCEen_US
dc.citation.volume2902en_US
dc.citation.issueen_US
dc.citation.spage466en_US
dc.citation.epage478en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
Appears in Collections:Conferences Paper