Deep learning for automatic dialogue system

Dialogue systems, also known as interactive conversations agents, virtual agents and sometimes chatterbots has been widely applied into daily life from entertainment to automation customer services such as personalised medical service and online shopping. The project aims to research and develop the...

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Main Author:	Liu, Wei
Other Authors:	Chen Lihui
Format:	Final Year Project
Language:	English
Published:	2018
Subjects:	DRNTU::Engineering
Online Access:	http://hdl.handle.net/10356/75124
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Institution:	Nanyang Technological University
Language:	English

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record_format	dspace
spelling	sg-ntu-dr.10356-751242023-07-07T15:57:51Z Deep learning for automatic dialogue system Liu, Wei Chen Lihui School of Electrical and Electronic Engineering DRNTU::Engineering Dialogue systems, also known as interactive conversations agents, virtual agents and sometimes chatterbots has been widely applied into daily life from entertainment to automation customer services such as personalised medical service and online shopping. The project aims to research and develop the state of the art deep learning technology for various modules of dialogue system. Main work item is to build up query understanding, knowledge database and reply generating modules. Technology wise, LSTM network will be core part of target system. In this project, quality of data input is one of the priority factors that affect output results. Hence, research on current existing dataset of sentence corpus will also be conducted. In the end a demo system should be provided to show dialogue system with daily conversation content. This system should able to generate a reply with a given sentence. Bachelor of Engineering 2018-05-28T06:52:53Z 2018-05-28T06:52:53Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75124 en Nanyang Technological University 53 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering
spellingShingle	DRNTU::Engineering Liu, Wei Deep learning for automatic dialogue system
description	Dialogue systems, also known as interactive conversations agents, virtual agents and sometimes chatterbots has been widely applied into daily life from entertainment to automation customer services such as personalised medical service and online shopping. The project aims to research and develop the state of the art deep learning technology for various modules of dialogue system. Main work item is to build up query understanding, knowledge database and reply generating modules. Technology wise, LSTM network will be core part of target system. In this project, quality of data input is one of the priority factors that affect output results. Hence, research on current existing dataset of sentence corpus will also be conducted. In the end a demo system should be provided to show dialogue system with daily conversation content. This system should able to generate a reply with a given sentence.
author2	Chen Lihui
author_facet	Chen Lihui Liu, Wei
format	Final Year Project
author	Liu, Wei
author_sort	Liu, Wei
title	Deep learning for automatic dialogue system
title_short	Deep learning for automatic dialogue system
title_full	Deep learning for automatic dialogue system
title_fullStr	Deep learning for automatic dialogue system
title_full_unstemmed	Deep learning for automatic dialogue system
title_sort	deep learning for automatic dialogue system
publishDate	2018
url	http://hdl.handle.net/10356/75124
_version_	1772828444246147072

Deep learning for automatic dialogue system

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