Development of Hierarchical Attention Network Based Architecture for Cloze-Style Question Answering
Recently, researchers have been addressing Question Answering (QA) by utilizing deep learning architectures. Architectures include Recurrent Neural Networks (RNNs), Convolutional Neural Networks (CNNs), and attention mechanism. QA has several variants, fo
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erging Technologies in Computing Third EAI International Conference, iCETiC 2020 London, UK, August 19–20, 2020 Proceedings
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Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Editorial Board Members Ozgur Akan Middle East Technical University, Ankara, Turkey Paolo Bellavista University of Bologna, Bologna, Italy Jiannong Cao Hong Kong Polytechnic University, Hong Kong, China Geoffrey Coulson Lancaster University, Lancaster, UK Falko Dressler University of Erlangen, Erlangen, Germany Domenico Ferrari Università Cattolica Piacenza, Piacenza, Italy Mario Gerla UCLA, Los Angeles, USA Hisashi Kobayashi Princeton University, Princeton, USA Sergio Palazzo University of Catania, Catania, Italy Sartaj Sahni University of Florida, Gainesville, USA Xuemin (Sherman) Shen University of Waterloo, Waterloo, Canada Mircea Stan University of Virginia, Charlottesville, USA Xiaohua Jia City University of Hong Kong, Kowloon, Hong Kong Albert Y. Zomaya University of Sydney, Sydney, Australia
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More information about this series at http://www.springer.com/series/8197
Mahdi H. Miraz Peter S. Excell Andrew Ware Safeeullah Soomro Maaruf Ali (Eds.) •
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Emerging Technologies in Computing Third EAI International Conference, iCETiC 2020 London, UK, August 19–20, 2020 Proceedings
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Editors Mahdi H. Miraz CFRED Chinese University of Hong Kong Hong Kong, China Andrew Ware Faculty of Computing, Engineering and Science University of South Wales Pontypridd, Mid Glamorgan, UK
Peter S. Excell Professor Emeritus Wrexham Glyndwr University Bradford, UK Safeeullah Soomro AMA International University Salmabad, Bahrain
Maaruf Ali Epoka University Tirana, Albania
ISSN 1867-8211 ISSN 1867-822X (electronic) Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN 978-3-030-60035-8 ISBN 978-3-030-60036-5 (eBook) https://doi.org/10.1007/978-3-030-60036-5 © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expres
