Arabic Text Question Answering from an Answer Retrieval Point of View: a survey

Abstract

Arabic Question Answering (QA) is gaining more importance due to the importance of the language and the dramatic increase in online Arabic content. The goal of this article is to review the state-of-the-art of Arabic QA methods, to classify them into different categories from an answer retrieval viewpoint and to present their applications, issues and new trends. The main components of question answering systems are also presented. Finally, this survey provides a comparative study of systems of each type of QA based on several criteria.

Authors and Affiliations

Bodor Sati, Mohammed Ali, Sherif Abdou

Keywords

Related Articles

Design and Implementation of a Risk Management Tool: A Case Study of the Moodle Platform

During the last years, the distinctive feature of our society has been the rapid pace of technological change. In the Moroccan context, universities have put digital learning at the heart of their projects of development...

Hadoop MapReduce for Parallel Genetic Algorithm to Solve Traveling Salesman Problem

Achieving an optimal solution for NP-complete problems is a big challenge nowadays. The paper deals with the Traveling Salesman Problem (TSP) one of the most important combinatorial optimization problems in this class. W...

A Guideline for Decision-making on Business Intelligence and Customer Relationship Management among Clinics

Business intelligence offers the capability to gain insights and perform better in decision-making by using a particular set of technologies and tools. A company’s success to a certain extent depends on customers. The co...

A Comprehensive Analysis of E-government services adoption in Saudi Arabia: Obstacles and Challenges

Often referred as Government to Citizen (G2C) e-government services, many governments around the world are developing and utilizing ICT technologies to provide information and services to their citizens. In Saudi Arabia...

Lung-Deep: A Computerized Tool for Detection of Lung Nodule Patterns using Deep Learning Algorithms Detection of Lung Nodules Patterns

The detection of lung-related disease for radiologists is a tedious and time-consuming task. For this reason, automatic computer-aided diagnosis (CADs) systems were developed by using digital CT scan images of lungs. The...

Download PDF file
  • EP ID EP96258
  • DOI 10.14569/IJACSA.2016.070766
  • Views 103
  • Downloads 0

How To Cite

Bodor Sati, Mohammed Ali, Sherif Abdou (2016). Arabic Text Question Answering from an Answer Retrieval Point of View: a survey. International Journal of Advanced Computer Science & Applications, 7(7), 478-484. https://europub.co.uk/articles/-A-96258