Pattern-Matching Based for Arabic Question Answering: A Challenge Perspective

Hasan, Ali Muttaleb and Rassem, Taha H. and Noorhuzaimi, Mohd Noor (2018) Pattern-Matching Based for Arabic Question Answering: A Challenge Perspective. Advanced Science Letters, 24 (10). pp. 7655-7661. ISSN 1936-6612. (Published)

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In the 21st century, the Arabic language is amongst the most spoken language of all time, having about 300 million speakers in the globe. Thus, Arabic question answering systems are becoming highly needful for the intellectual benefit internet users. Contrary to the need of Arabic Question Answering, there are only a few reports concerning it. In view of the aforementioned hence the need for more information in this regard. Question classification covers tasks, which identifies a response in the file. It is the basic and important module of a question-answering task to assign one or several classes to a given question. Errors in question classification will result in failure to answer in essence the needed question. In this survey, we focus on the problem of classifying users’ questions and methods to enhance meanings to questions in order to get correct answers that are commensurate. Categorizing users’ questions are daunting due to the Natural Language flexibility issues, in which the questions can be written in divers’ forms and the little information available is not sufficient to base questions. Little research has been focused on the classification for Arabic question answering. Previous Arabic research has used hand-crafted rules and keywords matching that cannot be adopted in a new domain and is not suitable for a new language. Major challenges of the Arabic language are explained in this paper. This study highlighted the Arabic Question Answering Systems as answer identification of the Arabic language domain in the Hadith context.

Item Type: Article
Additional Information: JCR® Category: Multidisciplinary Sciences. Quartile: Q2
Uncontrolled Keywords: N-gram; Headword; Pattern; Question Answering; Natural Language Processing
Subjects: P Language and Literature > PE English
Faculty/Division: Centre of Excellence: IBM Centre of Excellence
Faculty of Computer System And Software Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 11 Jan 2018 02:00
Last Modified: 22 Nov 2018 04:40
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