Restricted recurrent neural tensor networks: Exploiting word frequency and compositionality

Salle, A. and Villavicencio, A. orcid.org/0000-0002-3731-9168 (2018) Restricted recurrent neural tensor networks: Exploiting word frequency and compositionality. In: Gurevych, I. and Miyao, Y., (eds.) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Short Papers). 56th Annual Meeting of the Association for Computational Linguistics, 15-20 Jul 2018, Melbourne, Australia. Association for Computational Linguistics , pp. 8-13. ISBN 9781948087346

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 Association for Computational Linguistics
Dates:
  • Published: July 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: 21 Nov 2019 15:51
Last Modified: 21 Nov 2019 16:33
Status: Published
Publisher: Association for Computational Linguistics
Refereed: Yes
Identification Number: https://doi.org/10.18653/v1/P18-2002

Share / Export

Statistics