Stance Detection with Stance-Wise Convolution Network
Stance detection aims at identifying the stance (favor, against or neutral) of a text towards a specific target of opinion. Recently, there is a growing interest in using neural models for stance detection, but there are still some challenges to be solved
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Xiaodan Zhu Min Zhang Yu Hong Ruifang He (Eds.)
Natural Language Processing and Chinese Computing 9th CCF International Conference, NLPCC 2020 Zhengzhou, China, October 14–18, 2020 Proceedings, Part I
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Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science
Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany
Founding Editor Jörg Siekmann DFKI and Saarland University, Saarbrücken, Germany
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More information about this series at http://www.springer.com/series/1244
Xiaodan Zhu Min Zhang Yu Hong Ruifang He (Eds.) •
•
•
Natural Language Processing and Chinese Computing 9th CCF International Conference, NLPCC 2020 Zhengzhou, China, October 14–18, 2020 Proceedings, Part I
123
Editors Xiaodan Zhu ECE & Ingenuity Labs Research Institute Queen’s University Kingston, ON, Canada Yu Hong School of Computer Science and Technology Soochow University Suzhou, China
Min Zhang Department of Computer Science and Technology Tsinghua University Beijing, China Ruifang He College of Intelligence and Computing Tianjin University Tianjin, China
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-030-60449-3 ISBN 978-3-030-60450-9 (eBook) https://doi.org/10.1007/978-3-030-60450-9 LNCS Sublibrary: SL7 – Artificial Intelligence © 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
Welcome to 9th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2020). Following the success of previous conferences held in Beijing (20