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dc.contributor.authorChang, Tao-Hsingen_US
dc.contributor.authorLee, Chia-Hoangen_US
dc.contributor.authorChang, Yu-Mingen_US
dc.date.accessioned2018-08-21T05:56:36Z-
dc.date.available2018-08-21T05:56:36Z-
dc.date.issued2006-01-01en_US
dc.identifier.urihttp://hdl.handle.net/11536/146389-
dc.description.abstractChinese automated essay scoring (CAES) is a very important tool for many educational researches. However, none of the methods for retrieving features in English essays is applicable to Chinese writings because Chinese grammar parsers cannot produce reliable and useful syntactic features. CAES systems must explore other distinct features in Chinese writing. This paper proposes a method for retrieving two Chinese figures-of-speech from essays and to predict the scores of essays based on the two skills used in the essays. A scoring model based on ID3 decision tree algorithm will validate and show that the proposed method increases the performance of CAES effectively.en_US
dc.language.isoen_USen_US
dc.subjectautomated essay scoring-en_US
dc.subjectfigures-of-speechen_US
dc.subjectChinese writingen_US
dc.subjectID3en_US
dc.titleEnhancing automatic Chinese essay scoring system from figures-of-speechen_US
dc.typeProceedings Paperen_US
dc.identifier.journalPACLIC 20: PROCEEDINGS OF THE 20TH PACIFIC ASIA CONFERENCE ON LANGUAGE, INFORMATION AND COMPUTATIONen_US
dc.citation.spage28en_US
dc.citation.epage34en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000243426100004en_US
Appears in Collections:Conferences Paper