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研究生:曹瀞云
研究生(外文):TSAO, CHING-YUN
論文名稱:台灣民法智能聊天機器人助理之研究與開發
論文名稱(外文):A Study and Development of a Smart Chatbot Agent Based on Civil Law of Taiwan
指導教授:黃耀賢黃耀賢引用關係
指導教授(外文):HUANG,YAO-HSIEN
口試委員:黃耀賢李孟燦蔡淵裕
口試委員(外文):HUANG,YAO-HSIENLI,MENG-CANTSAI,YUAN-YU
口試日期:2019-07-22
學位類別:碩士
校院名稱:實踐大學
系所名稱:資訊科技與管理學系碩士班
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2019
畢業學年度:107
語文別:中文
論文頁數:58
中文關鍵詞:聊天機器人LINE民法AIMLRiveScript
外文關鍵詞:ChatbotLINECivil LawAIMLRiveScript
相關次數:
  • 被引用被引用:4
  • 點閱點閱:538
  • 評分評分:
  • 下載下載:3
  • 收藏至我的研究室書目清單書目收藏:3
在人與人的互動之間,難免會有摩擦,有和解的解決方法外,最不得已的手段就是採取法律途徑。但是除了專業人士以外,對於一般民眾來說,既深奧又難懂的,只能找律師尋求幫助,卻也是一筆額外的支出。
隨著人工智慧的快速發展,各種相關科技應用讓我們的生活更為便利,例如:藉由人工智慧開發出聊天機器人,能夠立即提供客戶各種解答或是解決方案。有鑑於此,本論文結合人工智慧與深度學習中的自然語言處理(Natural Language Processing, NLP)以及序列對序列(sequence-to-sequence, Seq2seq)模型,開發一套具有深入學習的聊天室機器人讓使用者的生活更加便利。因此,我們想要開發出一款台灣民法聊天機器人(Civil Law of Taiwan, CLT)提供大家可以查詢相關台灣民法的聊天機器人,讓民眾可以對民法法律多一個自助諮詢的管道。
CLT系統植於LINE的平台上,本系統以AIML或是RiveScript結合LINE API與台灣民法搭配,利用模糊比對來判斷使用者詢問的問題是屬於哪一個單元,再來進入到民法AI引擎找出最符合的答案,透過LINE回傳給使用者。CLT系統的完成,可以讓每個使用者都可以透過即時的對話式服務來解決對民法的基本常見問題,並無時無刻都能增進自己民法的知識。

Interactions between individuals inevitably produce friction that reconciliatory methods may not always effectively resolve. The ultimate course of action is to enter into legal proceedings. However, the general public does not share the same familiarity and expertise as legal professionals in navigating the arcane and complicated legal system. They may seek the assistance of attorneys of law, but that would create additional cost.
The rapid development of artificial intelligence (AI) and associated technological applications have brought considerable convenience to our everyday lives. For instance, AI-enabled conversational robots can provide clients answers or solutions to a range of the problem. With these developments in mind, this paper combined AI, Natural Language Processing (NLP), and sequence-to-sequence (Seq2seq), which are models under deep learning, to develop a chatroom robot with deep learning capability that can improve user experience as they adopt a more convenient lifestyle. We wish to develop a chat robot specializing in the Civil Law of Taiwan (CLT) so to provide the general public with an additional channel for consultation. The public can use the robot to conduct inquiries regarding Civil Law themselves.
The CLT system is based on the Line-app platform. The system will use AIML or RiveScript to pair the Line API and the Taiwan Civil Law corpus to perform approximate matching. The method can determine the unit or category that the user's inquiry belongs to, then import the query into the Civil Law-dedicated AI search engine to locate the appropriate results. The results are then sent to the user via the Line app. The completion of the CLT system can provide each user with instantaneous conversational service to resolve basic and common problems that the user may have regarding Civil Law, leading to improved legal literacy.

致謝 ii
摘要 iii
ABSTRACT iv
目錄 v
表次 vi
圖次 vii
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 2
第二章 文獻探討 3
第一節 深度學習 3
第二節 聊天機器人 10
第三節 AIML、RiveScript 18
第四節 民法 21
第三章 系統架構 23
第一節 系統概念與架構 23
第二節 民法AI引擎 27
第三節 LINE聊天機器人架構 28
第四章 實驗結果 31
第一節 LINE聊天機器人串接 31
第二節 LINE聊天機器人設計 31
第三節 執行成果 41
第五章 結論與未來工作 45
第一節 結論 45
第二節 未來工作 45
參考文獻 47


一、中文

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二、英文

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三、網路

吳惠麟(2016),網管系統結合 LINE BOT 實現即時告警互動通知,取自於2017年8月14日,於http://www.netadmin.com.tw/article_content.aspx?sn=1610040003&jump=2。

唐子晴(2018),LINE台灣月活躍用戶破2,100萬,特愛三大功能、使用率名列全球第一,取自於2018年12月28日,於https://www.bnext.com.tw/article/51783/line-linetoday-linestore-sticker

民法,取自於2019年7月22日,https://zh.wikipedia.org/wiki/%E6%B0%91%E6%B3%95

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