Practical approach to knowledge-based question answering with natural language understanding and advanced reasoning

The complexity of natural language and the open-domain nature of the World Wide Web have caused modem-day question answering systems to rely only on information retrieval techniques and shallow natural language processing tasks. This approach has brought about serious drawbacks namely restriction on...

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Main Author:	Wilson, Wong Yik Sen
Format:	Thesis
Language:	English English
Published:	2005
Subjects:	Q Science (General) QA Mathematics
Online Access:	http://eprints.utem.edu.my/id/eprint/14849/1/Practical%20approach%20to%20knowledge-based%20question%20answering%20with%20natural%20language%20understanding%20and%20advanced%20reasoning%20-%20Copy.pdf http://eprints.utem.edu.my/id/eprint/14849/2/Practical%20approach%20to%20knowledge-based%20question%20answering%20with%20natural%20language%20understanding%20and%20advanced%20reasoning.pdf
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id	my-utem-ep.14849
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spelling	my-utem-ep.148492022-10-19T14:27:32Z Practical approach to knowledge-based question answering with natural language understanding and advanced reasoning 2005 Wilson, Wong Yik Sen Q Science (General) QA Mathematics The complexity of natural language and the open-domain nature of the World Wide Web have caused modem-day question answering systems to rely only on information retrieval techniques and shallow natural language processing tasks. This approach has brought about serious drawbacks namely restriction on the nature of question and response. This restriction constitutes the first problem addressed by this research. Through recent academic works, many researchers have begun to acknowledge the problem and agreed that the solution comes in the form of a new approach based on natural language understanding and reasoning in a knowledge-based environment. Due to the infancy stage of this new approach and practical consideration, the current practices vary greatly and are mostly based on only low-level natural language understanding, minimalist representation formalism and conventional reasoning approach without advanced features. As a result, not only were these systems found to be inadequate to solve the first problem but have also created the second problem, that is the limitation to scale across domains and to real-life natural language text. This research hypothesized that a practical approach in the form of a solution framework which combines full-discourse natural language understanding, powerful representation formalism capable of exploiting ontological information and reasoning approach with advanced features, will solve both the first and second problem without compromising practicality factors.The solution framework is implemented as a system called "Natural Language Understanding and Reasoning for Intelligence" (NaLURI). More importantly, two evaluations and their results are presented to demonstrate that the inclusion of more demanding features into a question answering system will not only allow for a wider range of questions and better response quality, but does not affect the response time, hence approving the hypothesis of this research. 2005 Thesis http://eprints.utem.edu.my/id/eprint/14849/ http://eprints.utem.edu.my/id/eprint/14849/1/Practical%20approach%20to%20knowledge-based%20question%20answering%20with%20natural%20language%20understanding%20and%20advanced%20reasoning%20-%20Copy.pdf text en public http://eprints.utem.edu.my/id/eprint/14849/2/Practical%20approach%20to%20knowledge-based%20question%20answering%20with%20natural%20language%20understanding%20and%20advanced%20reasoning.pdf text en validuser http://library.utem.edu.my:8000/elmu/index.jsp?module=webopac-d&action=fullDisplayRetriever.jsp&szMaterialNo=0000014667 mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Information And Communication Technology Goh, Ong Sing
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Goh, Ong Sing
topic	Q Science (General) QA Mathematics
spellingShingle	Q Science (General) QA Mathematics Wilson, Wong Yik Sen Practical approach to knowledge-based question answering with natural language understanding and advanced reasoning
description	The complexity of natural language and the open-domain nature of the World Wide Web have caused modem-day question answering systems to rely only on information retrieval techniques and shallow natural language processing tasks. This approach has brought about serious drawbacks namely restriction on the nature of question and response. This restriction constitutes the first problem addressed by this research. Through recent academic works, many researchers have begun to acknowledge the problem and agreed that the solution comes in the form of a new approach based on natural language understanding and reasoning in a knowledge-based environment. Due to the infancy stage of this new approach and practical consideration, the current practices vary greatly and are mostly based on only low-level natural language understanding, minimalist representation formalism and conventional reasoning approach without advanced features. As a result, not only were these systems found to be inadequate to solve the first problem but have also created the second problem, that is the limitation to scale across domains and to real-life natural language text. This research hypothesized that a practical approach in the form of a solution framework which combines full-discourse natural language understanding, powerful representation formalism capable of exploiting ontological information and reasoning approach with advanced features, will solve both the first and second problem without compromising practicality factors.The solution framework is implemented as a system called "Natural Language Understanding and Reasoning for Intelligence" (NaLURI). More importantly, two evaluations and their results are presented to demonstrate that the inclusion of more demanding features into a question answering system will not only allow for a wider range of questions and better response quality, but does not affect the response time, hence approving the hypothesis of this research.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Wilson, Wong Yik Sen
author_facet	Wilson, Wong Yik Sen
author_sort	Wilson, Wong Yik Sen
title	Practical approach to knowledge-based question answering with natural language understanding and advanced reasoning
title_short	Practical approach to knowledge-based question answering with natural language understanding and advanced reasoning
title_full	Practical approach to knowledge-based question answering with natural language understanding and advanced reasoning
title_fullStr	Practical approach to knowledge-based question answering with natural language understanding and advanced reasoning
title_full_unstemmed	Practical approach to knowledge-based question answering with natural language understanding and advanced reasoning
title_sort	practical approach to knowledge-based question answering with natural language understanding and advanced reasoning
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty Of Information And Communication Technology
publishDate	2005
url	http://eprints.utem.edu.my/id/eprint/14849/1/Practical%20approach%20to%20knowledge-based%20question%20answering%20with%20natural%20language%20understanding%20and%20advanced%20reasoning%20-%20Copy.pdf http://eprints.utem.edu.my/id/eprint/14849/2/Practical%20approach%20to%20knowledge-based%20question%20answering%20with%20natural%20language%20understanding%20and%20advanced%20reasoning.pdf
_version_	1776103084888424448

Practical approach to knowledge-based question answering with natural language understanding and advanced reasoning

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