Semi-supervised adaptation of RNNLMs by fine-tuning with domain-specific auxiliary features

Deena, S., Ng, R.W.M., Madhyashta, P. et al. (2 more authors) (2017) Semi-supervised adaptation of RNNLMs by fine-tuning with domain-specific auxiliary features. In: Proceedings of INTERSPEECH 2017: Conference of the International Speech Communication Association. INTERSPEECH 2017: Conference of the International Speech Communication Association, 20 - 24 Aug 2017, Stockholm. ISCA , pp. 2715-2719.

Abstract

Metadata

Authors/Creators:
  • Deena, S.
  • Ng, R.W.M.
  • Madhyashta, P.
  • Specia, L.
  • Hain, T.
Copyright, Publisher and Additional Information: © 2017 ISCA. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: RNNLM; Semi-supervised Adaptation; LDA topic models
Dates:
  • Accepted: 22 May 2017
  • Published (online): 24 August 2017
  • Published: 24 August 2017
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: 09 Jun 2017 11:10
Last Modified: 12 Jan 2018 10:52
Published Version: https://doi.org/10.21437/Interspeech.2017-1598
Status: Published
Publisher: ISCA
Refereed: Yes
Identification Number: https://doi.org/10.21437/Interspeech.2017-1598

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