Robust Intent Classification using Bayesian LSTM for Clinical Conversational Agents (CAs)

Aftab, Haris orcid.org/0000-0001-7981-1743, Gautam, Vibhu, Hawkins, Richard David orcid.org/0000-0001-7347-3413 et al. (2 more authors) (2022) Robust Intent Classification using Bayesian LSTM for Clinical Conversational Agents (CAs). In: MobiHealth 2021:Wireless Mobile Communication and Healthcare. 10th EAI International Conference on Wireless Mobile Communication and Healthcare, 13-14 Nov 2021 Springer , CHN , pp. 106-118.

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Copyright, Publisher and Additional Information: © 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
Keywords: Conversational Agents (CAs),Machine Learning,Model Uncertainty,Out-of-Distribution (OOD),Healthcare,Patient Safety
Dates:
  • Accepted: 14 November 2021
  • Published: 7 June 2022
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 06 Jan 2022 09:40
Last Modified: 01 Nov 2022 14:02
Published Version: https://doi.org/10.1007/978-3-031-06368-8_8
Status: Published
Publisher: Springer
Refereed: No
Identification Number: https://doi.org/10.1007/978-3-031-06368-8_8

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