- Title
- Deep reinforcement-based conversational ai agent in healthcare system
- Creator
- Kulkarni, Pradnya; Stranieri, Andrew; Mahableshwarkar, Ameya; Kulkarni, Mrunalini
- Date
- 2022
- Type
- Text; Book chapter
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/190992
- Identifier
- vital:17736
- Identifier
-
https://doi.org/10.1007/978-981-19-2416-3_13
- Identifier
- ISBN:9789811924156
- Abstract
- Conversational AI is a sub-domain of artificial intelligence that deals with speech-based or text-based AI agents that have the capability to simulate and automate conversations and verbal interactions. A Goal Oriented Conversational Agent (GOCA) is a conversational AI agent that attempts to solve a specific problem for the users as per their inputs. The development of Reinforcement Learning algorithms has opened up new opportunities in research related to conversational AI, due to the striking similarity the algorithm bears to the way a conversation takes place. This chapter aims to describe a novel, hybrid conversational AI architecture using Deep Reinforcement Learning that can give state-of-the-art results on the tasks of Intent Classification, Entity Recognition, Dialog Management, State Tracking, Information Retrieval and Natural Language Response Generation. The architecture also consists of external AI modules, focused on carrying out intelligent tasks pertaining to the healthcare sector. The AI tasks that the conversational agent is capable of performing are—Text-based Question Answering, Text Summarization and Visual Question Answering. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Relation
- Studies in Computational Intelligence p. 233-249
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2022, The Author(s)
- Subject
- Bidirectional encoder representations from transformers (BERT) model; Conversational AI agent; Deep reinforcement learning
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