A SEMANTIC REPRESENTATION FOR IMPROVING THE PERFORMANCE OF COMPARATIVE QUESTION ANSWERING SYSTEMS

Question Answering (QA) is considered a vital research area in Information Retrieval (IR) and Artificial Intelligence (AI). Most QA models depend on bag-of-words as a representation of the documents and questions when answering more than just the semantic representation in relevance estimation of...

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Main Author:	IBRAHIM MAHMOUD IBRAHIM ALTURANI
Format:	Thesis
Language:	English
Online Access:	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/16014/1/Abstract.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/16014/2/Full%20Thesis%20-%20IBRAHIM%20MAHMOUD%20IBRAHIM%20ALTURANI.pdf
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id	my-umt-ir.-16014
record_format	uketd_dc
spelling	my-umt-ir.-160142022-01-19T08:06:07Z A SEMANTIC REPRESENTATION FOR IMPROVING THE PERFORMANCE OF COMPARATIVE QUESTION ANSWERING SYSTEMS IBRAHIM MAHMOUD IBRAHIM ALTURANI Question Answering (QA) is considered a vital research area in Information Retrieval (IR) and Artificial Intelligence (AI). Most QA models depend on bag-of-words as a representation of the documents and questions when answering more than just the semantic representation in relevance estimation of information which in turn reduces the effectiveness and performance of the QA systems. The aim of improving QA systems is to increase accurate answers and provide access to a large number of related passages. Overall, the QA system is incapable of understanding the natural language with high accuracy. This could be attributed to its richness of hidden and embedded information. Accordingly, the main aim of this research is to design a model that uses the semantic approach to search and retrieve relevant answers in the QA system, particularly for comparative questions. This research proposes a new model which will improve question classification and document representations by using semantic analyses. The classification of these questions can be improved with an additional classification layer that can be added in the question processing stage for further semantic classification. This layer will be responsible for grouping the question as comparative or noncomparative. UNIVERSITI MALAYSIA TERENGGANU 2021-06 Thesis en http://umt-ir.umt.edu.my:8080/handle/123456789/16014 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/16014/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/16014/1/Abstract.pdf 3dbd4da7aed1fb2d33625d48021bb9bf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/16014/2/Full%20Thesis%20-%20IBRAHIM%20MAHMOUD%20IBRAHIM%20ALTURANI.pdf b651cc0f7afa5e02de4dc8f3b4e84dbc
institution	Universiti Malaysia Terengganu
collection	UMT Repository System
language	English
description	Question Answering (QA) is considered a vital research area in Information Retrieval (IR) and Artificial Intelligence (AI). Most QA models depend on bag-of-words as a representation of the documents and questions when answering more than just the semantic representation in relevance estimation of information which in turn reduces the effectiveness and performance of the QA systems. The aim of improving QA systems is to increase accurate answers and provide access to a large number of related passages. Overall, the QA system is incapable of understanding the natural language with high accuracy. This could be attributed to its richness of hidden and embedded information. Accordingly, the main aim of this research is to design a model that uses the semantic approach to search and retrieve relevant answers in the QA system, particularly for comparative questions. This research proposes a new model which will improve question classification and document representations by using semantic analyses. The classification of these questions can be improved with an additional classification layer that can be added in the question processing stage for further semantic classification. This layer will be responsible for grouping the question as comparative or noncomparative.
format	Thesis
author	IBRAHIM MAHMOUD IBRAHIM ALTURANI
spellingShingle	IBRAHIM MAHMOUD IBRAHIM ALTURANI A SEMANTIC REPRESENTATION FOR IMPROVING THE PERFORMANCE OF COMPARATIVE QUESTION ANSWERING SYSTEMS
author_facet	IBRAHIM MAHMOUD IBRAHIM ALTURANI
author_sort	IBRAHIM MAHMOUD IBRAHIM ALTURANI
title	A SEMANTIC REPRESENTATION FOR IMPROVING THE PERFORMANCE OF COMPARATIVE QUESTION ANSWERING SYSTEMS
title_short	A SEMANTIC REPRESENTATION FOR IMPROVING THE PERFORMANCE OF COMPARATIVE QUESTION ANSWERING SYSTEMS
title_full	A SEMANTIC REPRESENTATION FOR IMPROVING THE PERFORMANCE OF COMPARATIVE QUESTION ANSWERING SYSTEMS
title_fullStr	A SEMANTIC REPRESENTATION FOR IMPROVING THE PERFORMANCE OF COMPARATIVE QUESTION ANSWERING SYSTEMS
title_full_unstemmed	A SEMANTIC REPRESENTATION FOR IMPROVING THE PERFORMANCE OF COMPARATIVE QUESTION ANSWERING SYSTEMS
title_sort	semantic representation for improving the performance of comparative question answering systems
granting_institution	UNIVERSITI MALAYSIA TERENGGANU
url	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/16014/1/Abstract.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/16014/2/Full%20Thesis%20-%20IBRAHIM%20MAHMOUD%20IBRAHIM%20ALTURANI.pdf
_version_	1747835773796745216

A SEMANTIC REPRESENTATION FOR IMPROVING THE PERFORMANCE OF COMPARATIVE QUESTION ANSWERING SYSTEMS

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