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  1. National Taiwan Ocean University Research Hub
  2. 電機資訊學院
  3. 資訊工程學系
請用此 Handle URI 來引用此文件: http://scholars.ntou.edu.tw/handle/123456789/17909
DC 欄位值語言
dc.contributor.authorChuan-Jie Linen_US
dc.contributor.authorBo-Yu Hsiaoen_US
dc.date.accessioned2021-10-21T06:59:08Z-
dc.date.available2021-10-21T06:59:08Z-
dc.date.issued2011-11-06-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/17909-
dc.description.abstractThe textual entailment system determines whether one sentence can entail another in a common sense. We proposed several approaches to train textual entailment classifiers, including setting ancestor distance threshold, expanding training corpus, using different sets of features, and tuning classifier settings. The results show that a MC classifier trained by using an expanded training corpus and scoring features performs the best with an accuracy of 64.22% in BC task and 46.11% in MC tasken_US
dc.language.isoenen_US
dc.subjectNTOUen_US
dc.subjectRITEen_US
dc.subjectTraditional Chineseen_US
dc.subjectBC and MC subtasksen_US
dc.subjectWordNeten_US
dc.subjectGoogle Translateen_US
dc.titleThe Description of the NTOU RITE System in NTCIR-9en_US
dc.typeconference paperen_US
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.fulltextno fulltext-
item.grantfulltextnone-
item.openairetypeconference paper-
crisitem.author.deptCollege of Electrical Engineering and Computer Science-
crisitem.author.deptDepartment of Computer Science and Engineering-
crisitem.author.deptNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgCollege of Electrical Engineering and Computer Science-
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