Intent and Entity Detection with Data Augmentation for a Mental Health Virtual Assistant Chatbot-Reference-Cited by-同舟云学术

Intent and Entity Detection with Data Augmentation for a Mental Health Virtual Assistant Chatbot

Published:2023-09-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents
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Author:

Zamani Ali¹^ORCID,Reeson Matthew¹^ORCID,Marshall Tyler¹^ORCID,Gharaat Mohamad Ali¹^ORCID,Foster Alex Lambe¹^ORCID,Noble Jasmine¹^ORCID,Zaiane Osmar R.¹^ORCID

Affiliation:

1. Department of Computing Science, University of Alberta, Canada, Alberta Machine Intelligence Institute, Mood Disorder Society of Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3570945.3607324

Reference30 articles.

1. Alaa A. Abd-Alrazaq Mohannad Alajlani Nashva Ali Kerstin Denecke Bridgette M. Bewick and Mowafa Househ. 2021. Perceptions and Opinions of Patients about Mental Health Chatbots: Scoping Review. Issue 1. https://doi.org/10.2196/17828

2. Eleni Adamopoulou and Lefteris Moussiades. 2020. An Overview of Chatbot Technology. In Artificial Intelligence Applications and Innovations, Ilias Maglogiannis, Lazaros Iliadis, and Elias Pimenidis (Eds.). Springer International Publishing, Cham, 373--383.

3. A Survey on Data Augmentation for Text Classification

4. Tanja Bunk, Daksh Varshneya, Vladimir Vlasov, and Alan Nichol. 2020. Diet: Lightweight language understanding for dialogue systems. arXiv preprint arXiv:2004.09936 (2020).

5. Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, and Karthik Narasimhan. 2023. Toxicity in ChatGPT: Analyzing Persona-assigned Language Models. arXiv preprint arXiv:2304.05335 (2023).

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