Adapted TextRank for Term Extraction: a generic method of improving automatic term extraction algorithms

Zhang, Z., Petrak, J. orcid.org/0000-0001-8038-3096 and Maynard, D. orcid.org/0000-0002-1773-7020 (2018) Adapted TextRank for Term Extraction: a generic method of improving automatic term extraction algorithms. In: Procedia Computer Science. 14th International Conference on Semantic Systems, 10-13 Sep 2018, Vienna, Austria. Elsevier , pp. 102-108.

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the SEMANTiCS 2018 – 14th International Conference on Semantic Systems.
Keywords: Automatic term extraction; NLP; terminology; ontology engineering
Dates:
  • Accepted: 6 June 2018
  • Published (online): 18 October 2018
  • Published: 18 October 2018
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 - HORIZON 2020726992
Depositing User: Symplectic Sheffield
Date Deposited: 13 Sep 2018 11:42
Last Modified: 08 Mar 2019 11:40
Published Version: https://doi.org/10.1016/j.procs.2018.09.010
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.procs.2018.09.010

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