Re-ranking words to improve interpretability of automatically generated topics

Alokaili, A., Aletras, N. and Stevenson, M. orcid.org/0000-0002-9483-6006 (2019) Re-ranking words to improve interpretability of automatically generated topics. In: Dobnik, S., Chatzikyriakidis, S. and Demberg, V., (eds.) Proceedings of 13th International Conference on Computational Semantics (IWCS). 13th International Conference on Computational Semantics (IWCS) , 23-27 May 2019, Gothenburg, Sweden. Association for Computational Linguistics (ACL) , pp. 43-54. ISBN 9781950737192

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Copyright, Publisher and Additional Information: © 2019 ACL. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Dates:
  • Accepted: 1 March 2019
  • Published (online): 23 May 2019
  • Published: 23 May 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 26 Apr 2019 11:18
Last Modified: 25 Aug 2020 10:20
Published Version: https://www.aclweb.org/anthology/W19-0404/
Status: Published
Publisher: Association for Computational Linguistics (ACL)
Refereed: Yes
Identification Number: https://doi.org/10.18653/v1/W19-0404
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