A Study and Development of a Smart Chatbot Agent Based on Civil Law of Taiwan

碩士 === 實踐大學 === 資訊科技與管理學系碩士班 === 107 === 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...

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Main Authors: TSAO, CHING-YUN, 曹瀞云
Other Authors: HUANG,YAO-HSIEN
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/z43bq7
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spelling ndltd-TW-107SCC003960042019-10-10T03:35:42Z http://ndltd.ncl.edu.tw/handle/z43bq7 A Study and Development of a Smart Chatbot Agent Based on Civil Law of Taiwan 台灣民法智能聊天機器人助理之研究與開發 TSAO, CHING-YUN 曹瀞云 碩士 實踐大學 資訊科技與管理學系碩士班 107 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. HUANG,YAO-HSIEN 黃耀賢 2019 學位論文 ; thesis 58 zh-TW
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description 碩士 === 實踐大學 === 資訊科技與管理學系碩士班 === 107 === 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.
author2 HUANG,YAO-HSIEN
author_facet HUANG,YAO-HSIEN
TSAO, CHING-YUN
曹瀞云
author TSAO, CHING-YUN
曹瀞云
spellingShingle TSAO, CHING-YUN
曹瀞云
A Study and Development of a Smart Chatbot Agent Based on Civil Law of Taiwan
author_sort TSAO, CHING-YUN
title A Study and Development of a Smart Chatbot Agent Based on Civil Law of Taiwan
title_short A Study and Development of a Smart Chatbot Agent Based on Civil Law of Taiwan
title_full A Study and Development of a Smart Chatbot Agent Based on Civil Law of Taiwan
title_fullStr A Study and Development of a Smart Chatbot Agent Based on Civil Law of Taiwan
title_full_unstemmed A Study and Development of a Smart Chatbot Agent Based on Civil Law of Taiwan
title_sort study and development of a smart chatbot agent based on civil law of taiwan
publishDate 2019
url http://ndltd.ncl.edu.tw/handle/z43bq7
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