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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/123456789/17905
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dc.contributor.authorYotaro Watanabeen_US
dc.contributor.authorYusuke Miyaoen_US
dc.contributor.authorJunta Mizunoen_US
dc.contributor.authorTomohide Shibataen_US
dc.contributor.authorHiroshi Kanayamaen_US
dc.contributor.authorCheng-Wei Leeen_US
dc.contributor.authorChuan-Jie Linen_US
dc.contributor.authorShuming Shien_US
dc.contributor.authorTeruko Mitamuraen_US
dc.contributor.authorNoriko Kandoen_US
dc.contributor.authorHideki Shimaen_US
dc.contributor.authorKohichi Takedaen_US
dc.date.accessioned2021-10-21T06:41:32Z-
dc.date.available2021-10-21T06:41:32Z-
dc.date.issued2013-06-18-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/17905-
dc.description.abstractThis paper describes an overview of RITE-2 (Recognizing Inference in TExt) task in NTCIR-10. We evaluated sys tems that automatically recognize semantic relations be tween sentences such as paraphrase, entailment, contradic tion in Japanese, Simplified Chinese and Traditional Chi nese. The tasks in RITE-2 are Binary Classification of entailment (BC Subtask), Multi-Class Classification includ ing paraphrase and contradiction (MC Subtask), Entrance Exam Subtasks (Exam BC and Exam Search), Unit Test, and RITE4QA Subtask. We had 28 active participants, and received 215 formal runs (110 Japanese runs, 53 Traditional Chinese runs, 52 Simplified Chinese runs). This paper also describes how the datasets for RITE-2 had been developed, how the systems were evaluated, and reports RITE-2 formal run results.en_US
dc.language.isoenen_US
dc.subjectentailmenten_US
dc.subjectcontradictionen_US
dc.subjectentrance examen_US
dc.subjecttest collectionsen_US
dc.subjectevaluationen_US
dc.titleOverview of the Recognizing Inference in Text (RITE-2) at NTCIR-10en_US
dc.typeconference paperen_US
item.grantfulltextnone-
item.openairetypeconference paper-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.fulltextno fulltext-
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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