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Question Answering System : A Review On Question Analysis, Document Processing, And Answer Extraction Techniques

Utomo, Fandy Setyo and Suryana, Nanna and Azmi, Mohd Sanusi (2017) Question Answering System : A Review On Question Analysis, Document Processing, And Answer Extraction Techniques. Journal Of Theoretical And Applied Information Technology, 95 (14). 3158 - 3174. ISSN 1992-8645

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Abstract

Question Answering System could automatically provide an answer to a question posed by human in natural languages. This system consists of question analysis, document processing, and answer extraction module. Question Analysis module has task to translate query into a form that can be processed by document processing module. Document processing is a technique for identifying candidate documents, containing answer relevant to the user query. Furthermore, answer extraction module receives the set of passages from document processing module, then determine the best answers to user. Challenge to optimize Question Answering framework is to increase the performance of all modules in the framework. The performance of all modules that has not been optimized has led to the less accurate answer from question answering systems. Based on this issues, the objective of this study is to review the current state of question analysis, document processing, and answer extraction techniques. Result from this study reveals the potential research issues, namely morphology analysis, question classification, and term weighting algorithm for question classification.

Item Type: Article
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Information and Communication Technology > Department of Software Engineeering
Depositing User: Mohd Hannif Jamaludin
Date Deposited: 19 Mar 2019 09:03
Last Modified: 19 Mar 2019 09:03
URI: http://eprints.utem.edu.my/id/eprint/22753

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