Identification of Occupation Mentions in Clinical Narratives
A patient’s occupation is an important variable used for disease surveillance and modeling, but such information is often only available in free-text clinical narratives. We have developed a large occupation dictionary that is used as part of both knowled
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Elisabeth Métais · Farid Meziane Mohamad Saraee · Vijayan Sugumaran Sunil Vadera (Eds.)
Natural Language Processing and Information Systems 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016 Salford, UK, June 22–24, 2016, Proceedings
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Lecture Notes in Computer Science Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen
Editorial Board David Hutchison Lancaster University, Lancaster, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Zürich, Switzerland John C. Mitchell Stanford University, Stanford, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen TU Dortmund University, Dortmund, Germany Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max Planck Institute for Informatics, Saarbrücken, Germany
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More information about this series at http://www.springer.com/series/7409
Elisabeth Métais Farid Meziane Mohamad Saraee Vijayan Sugumaran Sunil Vadera (Eds.) •
•
Natural Language Processing and Information Systems 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016 Salford, UK, June 22–24, 2016 Proceedings
123
Editors Elisabeth Métais Conservatoire National des Arts et Métiers Paris France
Vijayan Sugumaran Oakland University Rochester, MI USA
Farid Meziane University of Salford Salford UK
Sunil Vadera University of Salford Salford UK
Mohamad Saraee University of Salford Salford UK
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-319-41753-0 ISBN 978-3-319-41754-7 (eBook) DOI 10.1007/978-3-319-41754-7 Library of Congress Control Number: 2016942797 LNCS Sublibrary: SL3 – Information Systems and Applications, incl. Internet/Web, and HCI © Springer International Publishing Switzerland 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 public
