Relation Extraction Using Semantic Information

Research works on relation extraction have put a lot of attention on finding features of surface text and syntactic patterns between entities. Much less work is done using semantically relevant features between entities because semantic information is dif

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Communications in Computer and Information Science

Computational Linguistics 14th International Conference of the Pacific Association for Computational Linguistics, PACLING 2015 Bali, Indonesia, May 19–21, 2015 Revised Selected Papers

123

593

Communications in Computer and Information Science

593

Commenced Publication in 2007 Founding and Former Series Editors: Alfredo Cuzzocrea, Dominik Ślęzak, and Xiaokang Yang

Editorial Board Simone Diniz Junqueira Barbosa Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil Phoebe Chen La Trobe University, Melbourne, Australia Xiaoyong Du Renmin University of China, Beijing, China Joaquim Filipe Polytechnic Institute of Setúbal, Setúbal, Portugal Orhun Kara TÜBİTAK BİLGEM and Middle East Technical University, Ankara, Turkey Igor Kotenko St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St. Petersburg, Russia Ting Liu Harbin Institute of Technology (HIT), Harbin, China Krishna M. Sivalingam Indian Institute of Technology Madras, Chennai, India Takashi Washio Osaka University, Osaka, Japan

More information about this series at http://www.springer.com/series/7899

Kôiti Hasida Ayu Purwarianti (Eds.) •

Computational Linguistics 14th International Conference of the Pacific Association for Computational Linguistics, PACLING 2015 Bali, Indonesia, May 19–21, 2015 Revised Selected Papers

123

Editors Kôiti Hasida Graduate School of Information Science The University of Tokyo Bunkyo-ku, Tokyo Japan

Ayu Purwarianti School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia

ISSN 1865-0929 ISSN 1865-0937 (electronic) Communications in Computer and Information Science ISBN 978-981-10-0514-5 ISBN 978-981-10-0515-2 (eBook) DOI 10.1007/978-981-10-0515-2 Library of Congress Control Number: 2015952054 © Springer Science+Business Media Singapore 2016 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, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer