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Deep learning-based question answering: a survey - 2023

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Research Paper On Deep learning-based question answering: a survey

Research Area:  Machine Learning

Abstract:

Question Answering is a crucial natural language processing task. This field of research has attracted a sudden amount of interest lately due mainly to the integration of the deep learning models in the Question Answering Systems which consequently power up many advancements and improvements. This survey aims to explore and shed light upon the recent and most powerful deep learning-based Question Answering Systems and classify them based on the deep learning model used, stating the details of the used word representation, datasets, and evaluation metrics. It aims to highlight and discuss the currently used models and give insights that direct future research to enhance this increasingly growing field.

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Author(s) Name:  Heba Abdel-Nabi, Arafat Awajan, Mostafa Z. Ali

Journal name:  Knowledge and Information Systems

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Publisher name:  Springer

DOI:  10.1007/s10115-022-01783-5

Volume Information:  Volume 65, pages 1399-1485, (2023)