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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/92544


    Title: IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-10 RITE-2
    Authors: Day, Min-Yuh;Tu, Chun;Huang, Shih-Jhen;Vong, Hou-Cheng;Wu, Shih-Wei
    Contributors: 淡江大學資訊管理學系
    Keywords: IMTKU;Textual Entailment;Recognizing Textual Entailment in Chinese;Recognizing Inference in TExt (RITE);NTCIR;Hybrid Approach;Machine Learning;Dependency Parser;WordNet
    Date: 2013-06-18
    Issue Date: 2013-10-18 06:24:36 (UTC+8)
    Publisher: Tokyo, Japan: National Institute of Informatics
    Abstract: In this paper, we describe the IMTKU (Information Management at TamKang University) textual entailment system for recognizing inference in text at NTCIR-10 RITE-2 (Recognizing Inference in Text). We proposed a textual entailment system using a hybrid approach that integrate semantic features and machine learning techniques for recognizing inference in text at NTCIR-10 RITE-2 task. We submitted 3 official runs for BC, MC and RITE4QA subtask. In NTCIR-10 RITE-2 task, IMTKU team achieved 0.509 in the CT-MC subtask, 0.663 in the CT-BC subtask; 0.402 in the CS-MC subtask, 0.627 in the CS-BC subtask; In MRR index, 0.257 in the CT-RITE4QA subtask, 0.338 in the CS-RITE4QA subtask.
    Relation: Proceedings of the 10th NTCIR Conference on Evaluation of Information Access Technologies(NTCIR-10), pp.462-468
    Appears in Collections:[資訊管理學系暨研究所] 會議論文

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