Generalisation in named entity recognition: A quantitative analysis

Augenstein, I., Derczynski, L. and Bontcheva, K. (2017) Generalisation in named entity recognition: A quantitative analysis. Computer Speech & Language, 44. pp. 61-83. ISSN 0885-2308

Abstract

Metadata

Authors/Creators:
  • Augenstein, I.
  • Derczynski, L.
  • Bontcheva, K.
Copyright, Publisher and Additional Information: © 2017 The Author(s). Published by Elsevier Ltd. This is an open access article article under the CC BY license. ( http://creativecommons.org/licenses/by/4.0/)
Keywords: Natural language processing; Information extraction; Named entity recognition; Generalisation; Entity drift; Social media; Quantitative study
Dates:
  • Accepted: 1 January 2017
  • Published (online): 14 February 2017
  • Published: 1 July 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
EUROPEAN COMMISSION - FP6/FP7PHEME - 611233
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/I004327/1
Depositing User: Symplectic Sheffield
Date Deposited: 11 Apr 2017 12:46
Last Modified: 12 Jun 2018 08:11
Published Version: https://doi.org/10.1016/j.csl.2017.01.012
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.csl.2017.01.012

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