English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 60696/93562 (65%)
造访人次 : 1054083      在线人数 : 32
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/108750


    题名: Machine Learning for Imbalanced Datasets of Recognizing Inference in Text with Linguistic Phenomena
    作者: Day, Min-Yuh;Tsai, Cheng-Chia
    关键词: Imbalanced Datasets;Linguistic Phenomena;Machine Learning;Recognizing Inference in Text;Textual Entailment
    日期: 2015-08-13
    上传时间: 2016-12-07 02:10:43 (UTC+8)
    出版者: IEEE
    摘要: Recognizing inference in text (RITE) plays an important role in the answer validation modules for a Question Answering (QA) system. The problem of class imbalance has received increased attention in the machine learning community. In recent years, several attempts have been made on the linguistic phenomena analysis, however, little is known about the effects of imbalanced datasets with linguistic phenomenon in recognizing inference in text. The objective of this paper is to provide an empirical study on learning imbalanced datasets of recognizing inference in text with linguistic phenomena for a better understanding of the effects of imbalanced datasets with linguistic phenomenon in recognizing inference in text. In this paper, we proposed an analysis of imbalanced datasets of recognizing inference in text with linguistic phenomena using NTCIR 11 RITE-VAL gold standard dataset and development dataset. The experimental results suggest that the distribution of imbalanced datasets of recognizing inference in text with linguistic phenomenon could be dramatically varied on the performance of a machine learning classifier.
    關聯: Proceedings of the 2015 IEEE 16th International Conf2015), Sanerence on Information Reuse and Integration, pp. 562-568
    DOI: 10.1109/IRI.2015.99
    显示于类别:[資訊管理學系暨研究所] 會議論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML209检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

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