Using linguistic features to improve the generalization capability of neural coreference resolvers

Moosavi, N.S. orcid.org/0000-0002-8332-307X and Strube, M. (2018) Using linguistic features to improve the generalization capability of neural coreference resolvers. In: Riloff, E., Chiang, D., Hockenmaier, J. and Tsujii, J., (eds.) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), 31 Oct - 04 Nov 2018, Brussels, Belgium. Association for Computational Linguistics , pp. 193-203. ISBN 9781948087841

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Copyright, Publisher and Additional Information: © 2018 Association for Computational Linguistics. Available under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
Dates:
  • Published (online): October 2018
  • Published: October 2018
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: 07 Sep 2022 16:06
Last Modified: 07 Sep 2022 16:06
Status: Published
Publisher: Association for Computational Linguistics
Refereed: Yes
Identification Number: https://doi.org/10.18653/v1/D18-1018
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