English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109953/140892 (78%)
Visitors : 46223852      Online Users : 720
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU 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
    政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 >  Item 140.119/111954


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/111954


    Title: Toward algorithmic discovery of biographical information in local gazetteers of ancient China
    Authors: 劉昭麟
    Liu, Chao Lin
    Huang, Chihkai
    Wang, Hongsu
    Bol, Peter K.
    Contributors: 資訊科學系
    Keywords: Algorithms;Computational linguistics;Modeling languages;Natural language processing systems;Ancient China;Chinese characters;Conditional random field;Current status;Harvard University;Language model;NAtural language processing;Tagging systems;Data mining
    Date: 2015-11
    Issue Date: 2017-08-14 16:07:25 (UTC+8)
    Abstract: Difangzhi is a large collection of local gazetteers complied by local govern-ments of China, and the documents provide invaluable information about the host locali-ty. This paper reports the current status of using natural language processing and text mining methods to identify biographical in-formation of government officers so that we can add the information into the China Bio-graphical Database (CBDB), which is hosted by Harvard University. Information offered by CBDB is instrumental for human histori-ans, and serves as a core foundation for au-tomatic tagging systems, like MARKUS of the Leiden University. Mining texts in Difangzhi is not easy partially because there is litter knowledge about the grammars of literary Chinese so far. We employed tech-niques of language modeling and conditional random fields to find person and location names and their relationships. The methods were evaluated with realistic Difangzhi data of more than 2 million Chinese characters written in literary Chinese. Experimental re-sults indicate that useful information was discovered from the current dataset.
    Relation: 29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015, 87-95
    29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015; Shanghai; China; 30 October 2015 到 1 November 2015; 代碼 119467
    Data Type: conference
    Appears in Collections:[資訊科學系] 會議論文

    Files in This Item:

    File Description SizeFormat
    PACLIC29-1011.162.pdf646KbAdobe PDF2281View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback