English  |  正體中文  |  简体中文  |  Items with full text/Total items : 57064/90742 (63%)
Visitors : 12482285      Online Users : 191
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/101067

    Title: Analysis of Identifying Linguistic Phenomena for Recognizing Inference in Text
    Authors: Day, Min-Yuh;Wang, Ya-Jung
    Contributors: 淡江大學資訊管理學系
    Keywords: Linguistic Phenomena;Recognizing Inference in Text;Textual Entailment;Knowledge-based;Machine Learning
    Date: 2014-08-15
    Issue Date: 2015-03-26 16:34:59 (UTC+8)
    Publisher: IEEE
    Abstract: Recognizing Textual Entailment (RTE) is a task in which two text fragments are processed by system to determine whether the meaning of hypothesis is entailed from another text or not. Although a considerable number of studies have been made on recognizing textual entailment, little is known about the power of linguistic phenomenon for recognizing inference in text. The objective of this paper is to provide a comprehensive analysis of identifying linguistic phenomena for recognizing inference in text (RITE). In this paper, we focus on RITE-VAL System Validation subtask and propose a model by using an analysis of identifying linguistic phenomena for Recognizing Inference in Text (RITE) using the development dataset of NTCIR-11 RITE-VAL subtask. The experimental results suggest that well identified linguistic phenomenon category could enhance the accuracy of textual entailment system.
    Relation: Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2014), pp.607-612
    Appears in Collections:[Graduate Institute & Department of Information Management] Proceeding

    Files in This Item:

    File Description SizeFormat
    2014_IEEE_IRI2014_Analysis_of_identifying_linguistic_phenomena_for_recognizing_inference_in_text_EMRITE.pdf2014 Analysis of Identifying Linguistic Phenomena for Recognizing Inference in Text1091KbAdobe PDF297View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback