English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 49378/84106 (59%)
造訪人次 : 7364297      線上人數 : 70
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/108750


    題名: Machine Learning for Imbalanced Datasets of Recognizing Inference in Text with Linguistic Phenomena
    作者: Day, Min-Yuh;Tsai, Cheng-Chia
    關鍵詞: Imbalanced Datasets;Linguistic Phenomena;Machine Learning;Recognizing Inference in Text;Textual Entailment
    日期: 2015/08/13
    上傳時間: 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
    顯示於類別:[資訊管理學系暨研究所] 會議論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML46檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

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