Abusive Language Detection Using BERT Pre-trained Embedding
The rapid growth in social communication increases the importance of detecting toxic languages. However, detecting toxic language is difficult because of deliberately noisy words and lack of labeled data. These issues cause a low recall in toxic language
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Yue Lu · Nicole Vincent · Pong Chi Yuen · Wei-Shi Zheng · Farida Cheriet · Ching Y. Suen (Eds.)
Pattern Recognition and Artificial Intelligence International Conference, ICPRAI 2020 Zhongshan, China, October 19–23, 2020 Proceedings
Lecture Notes in Computer Science Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA
Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, Beijing, China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA
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More information about this series at http://www.springer.com/series/7412
Yue Lu Nicole Vincent Pong Chi Yuen Wei-Shi Zheng Farida Cheriet Ching Y. Suen (Eds.) •
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Pattern Recognition and Artificial Intelligence International Conference, ICPRAI 2020 Zhongshan, China, October 19–23, 2020 Proceedings
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Editors Yue Lu East China Normal University Shanghai, China
Nicole Vincent Paris Descartes University Paris, France
Pong Chi Yuen Hong Kong Baptist University Kowloon, Hong Kong
Wei-Shi Zheng Sun Yat-sen University Guangzhou, China
Farida Cheriet Polytechnique Montréal Montreal, QC, Canada
Ching Y. Suen Concordia University Montreal, QC, Canada
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-59829-7 ISBN 978-3-030-59830-3 (eBook) https://doi.org/10.1007/978-3-030-59830-3 LNCS Sublibrary: SL6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics © Springer Nature Switzerland AG 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, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
