Text Summarization: Taking Legal Document Summarization as an Example

• 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/

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.