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Text Summarization: Taking Legal Document Summarization as an Example

Legal Document Summarization is an automated text summarization system which is generated by a computer program. This projects aim to generate a relevant summary from a legal tender specifically documents on tender. With the development of this module, it is hoped that this will decrease the time...

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Main Author: Abu Bakar, Adilah
Format: Final Year Project
Language:English
Published: Universiti Teknologi Petronas 2004
Subjects:
ZA Information resources
Online Access:http://utpedia.utp.edu.my/7793/1/2004%20-%20Text%20Summarization%20Taking%20Legal%20Document%20Summarization%20as%20an%20Example.pdf
http://utpedia.utp.edu.my/7793/
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spelling my-utp-utpedia.77932017-01-25T09:46:46Z http://utpedia.utp.edu.my/7793/ Text Summarization: Taking Legal Document Summarization as an Example Abu Bakar, Adilah ZA Information resources Legal Document Summarization is an automated text summarization system which is generated by a computer program. This projects aim to generate a relevant summary from a legal tender specifically documents on tender. With the development of this module, it is hoped that this will decrease the time required for handling tender process, eliminating the need on using manual summarizing and providing an easy viewing for user. This program will be developed by incorporating Artificial Intelligence field of Natural Language Processing (NLP) techniques and also finding the most suitable methodology to handle a project development that deals on text summarization processes. Therefore a custom-made methodology are implemented which are based on SDLC methodology and a summarization process. In incorporating NLP technique, based on the existing summarization system technique on word counting and clue phrases for topic identification and word clustering are used for better interpretation of information. Apart from using NLP, other techniques such as theme extraction are also taken into consideration for better generation of the summary based on the relevant requirement for the document. With this, extraction of texts based on the results from word counting and theme extraction can be generated. The technology that are being generated here are for a single document summarization in English language. Universiti Teknologi Petronas 2004-12 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/7793/1/2004%20-%20Text%20Summarization%20Taking%20Legal%20Document%20Summarization%20as%20an%20Example.pdf Abu Bakar, Adilah (2004) Text Summarization: Taking Legal Document Summarization as an Example. Universiti Teknologi Petronas. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic ZA Information resources
spellingShingle ZA Information resources
Abu Bakar, Adilah
Text Summarization: Taking Legal Document Summarization as an Example
description Legal Document Summarization is an automated text summarization system which is generated by a computer program. This projects aim to generate a relevant summary from a legal tender specifically documents on tender. With the development of this module, it is hoped that this will decrease the time required for handling tender process, eliminating the need on using manual summarizing and providing an easy viewing for user. This program will be developed by incorporating Artificial Intelligence field of Natural Language Processing (NLP) techniques and also finding the most suitable methodology to handle a project development that deals on text summarization processes. Therefore a custom-made methodology are implemented which are based on SDLC methodology and a summarization process. In incorporating NLP technique, based on the existing summarization system technique on word counting and clue phrases for topic identification and word clustering are used for better interpretation of information. Apart from using NLP, other techniques such as theme extraction are also taken into consideration for better generation of the summary based on the relevant requirement for the document. With this, extraction of texts based on the results from word counting and theme extraction can be generated. The technology that are being generated here are for a single document summarization in English language.
format Final Year Project
author Abu Bakar, Adilah
author_facet Abu Bakar, Adilah
author_sort Abu Bakar, Adilah
title Text Summarization: Taking Legal Document Summarization as an Example
title_short Text Summarization: Taking Legal Document Summarization as an Example
title_full Text Summarization: Taking Legal Document Summarization as an Example
title_fullStr Text Summarization: Taking Legal Document Summarization as an Example
title_full_unstemmed Text Summarization: Taking Legal Document Summarization as an Example
title_sort text summarization: taking legal document summarization as an example
publisher Universiti Teknologi Petronas
publishDate 2004
url http://utpedia.utp.edu.my/7793/1/2004%20-%20Text%20Summarization%20Taking%20Legal%20Document%20Summarization%20as%20an%20Example.pdf
http://utpedia.utp.edu.my/7793/
_version_ 1739831506968248320
score 13.211869

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