English  |  正體中文  |  简体中文  |  Post-Print筆數 : 11 |  Items with full text/Total items : 88613/118155 (75%)
Visitors : 23479162      Online Users : 327
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
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/124335


    Title: 基於標準答案的問句產生方法
    Authors: 陳嘉銘
    陳重臣
    黃昭義
    Contributors: 2019智慧企業資訊應用發展國際研討會
    Keywords: 聊天機器人、問答系統、Word2vec、網路爬蟲
    Chatbot, Question and answer system, Word2vec, Web crawler
    Date: 2019-06
    Issue Date: 2019-07-17 15:05:54 (UTC+8)
    Abstract: 聊天機器人大部分應用於社群媒體、網頁導覽、電子商務等應用,主要提供客戶即時獲取資訊,而目前大多數的聊天機器人系統都是基於搜尋關鍵字,再從資料庫中尋找最匹配的應答句回饋給客戶。大部分資料庫中的問句都是採用人工產生的方式,且基於各個領域的不同知識,需要專業的人員去衡量產生的問句品質,如此將耗費大量時間及人力成本。本研究將提出一個從標準答案產生出問句的方法,並透過Word2vec做相似度比對,將問句與問句之間的關係連結起來,協助人工產生問句語料庫。
    Most of the chat bots are used in social media, web navigation, e-commerce and other applications, mainly to provide customers with instant access to information, and most of the current chatbot systems are based on search keywords, and then find the best match from the database. The response sentence is fed back to the customer. Most of the questions in the database are artificially generated, and based on different knowledge in various fields, professional personnel are required to measure the quality of the questions generated, which will consume a lot of time and labor costs. This study will present a method for generating questions from standard answers, and through Word2vec to do similarity comparisons, link the relationship between questions and questions, and assist in artificially generating query corpus.
    Relation: 2019智慧企業資訊應用發展國際研討會
    Data Type: conference
    Appears in Collections:[2019智慧企業資訊應用發展國際研討會] 會議論文

    Files in This Item:

    File Description SizeFormat
    15.pdf112KbAdobe PDF23View/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
    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。
    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。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback