淡江大學機構典藏:Item 987654321/92542
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62805/95882 (66%)
Visitors : 3983680      Online Users : 573
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
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/92542


    Title: Chinese Textual Entailment with Wordnet Semantic and Dependency Syntactic Analysis
    Authors: Tu, Chun;Day, Min-Yuh
    Contributors: 淡江大學資訊管理學系
    Keywords: Textual Entailment;Semantic Features;Dependency Analysis;WordNet;Syntactic Features;Machine Learning;Support Vector Machine (SVM)
    Date: 2013-08-14
    Issue Date: 2013-10-18 05:24:17 (UTC+8)
    Publisher: IEEE Press
    Abstract: Recognizing Inference in TExt (RITE) is a task for automatically detecting entailment, paraphrase, and contradiction in texts which addressing major text understanding in information access research areas. In this paper, we proposed a Chinese textual entailment system using Wordnet semantic and dependency syntactic approaches in Recognizing Inference in Text (RITE) using the NTCIR-10 RITE-2 subtask datasets. Wordnet is used to recognize entailment at lexical level. Dependency syntactic approach is a tree edit distance algorithm applied on the dependency trees of both the text and the hypothesis. We thoroughly evaluate our approach using NTCIR-10 RITE-2 subtask datasets. As a result, our system achieved 73.28% on Traditional Chinese Binary-Class (BC) subtask and 74.57% on Simplified Chinese Binary-Class subtask with NTCIR-10 RITE-2 development datasets. Thorough experiments with the text fragments provided by the NTCIR-10 RITE-2 subtask showed that the proposed approach can improve system's overall accuracy.
    Relation: Proceedings of the 2013 IEEE 14th International Conference on Information Reuse & Integration (IRI), pp.69-74
    Appears in Collections:[Graduate Institute & Department of Information Management] Proceeding

    Files in This Item:

    File Description SizeFormat
    2013_IEEE_IRI2013_Chinese_Textual_Entailment_with_Wordnet_Semantic_and_Dependency_Syntactic_Analysis_010_504.pdfChinese Textual Entailment with Wordnet Semantic and Dependency Syntactic Analysis154KbAdobe PDF323View/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