Abstract
Task-oriented dialogue systems are increasingly prevalent in healthcare settings, and have been characterized by a diverse range of architectures and objectives. Although these systems have been surveyed in the medical community from a non-technical perspective, a systematic review from a rigorous computational perspective has to date remained noticeably absent. As a result, many important implementation details of healthcare-oriented dialogue systems remain limited or underspecified, slowing the pace of innovation in this area. To fill this gap, we investigated an initial pool of 4070 papers from well-known computer science, natural language processing, and artificial intelligence venues, identifying 70 papers discussing the system-level implementation of task-oriented dialogue systems for healthcare applications. We conducted a comprehensive technical review of these papers, and present our key findings including identified gaps and corresponding recommendations.- Anthology ID:
- 2022.acl-long.458
- Volume:
- Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Month:
- May
- Year:
- 2022
- Address:
- Dublin, Ireland
- Editors:
- Smaranda Muresan, Preslav Nakov, Aline Villavicencio
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 6638–6660
- Language:
- URL:
- https://aclanthology.org/2022.acl-long.458
- DOI:
- 10.18653/v1/2022.acl-long.458
- Cite (ACL):
- Mina Valizadeh and Natalie Parde. 2022. The AI Doctor Is In: A Survey of Task-Oriented Dialogue Systems for Healthcare Applications. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 6638–6660, Dublin, Ireland. Association for Computational Linguistics.
- Cite (Informal):
- The AI Doctor Is In: A Survey of Task-Oriented Dialogue Systems for Healthcare Applications (Valizadeh & Parde, ACL 2022)
- PDF:
- https://preview.aclanthology.org/naacl24-info/2022.acl-long.458.pdf