Chatbot System Architecture
This work provides a foundational overview for researchers and developers building chatbot systems, but it is incremental as it focuses on explaining existing architectures without introducing new methods.
The paper discusses the system architecture for conversational agents, detailing each component's role in integrating natural language processing and artificial intelligence techniques like deep learning for response generation.
The conversational agents is one of the most interested topics in computer science field in the recent decade. Which can be composite from more than one subject in this field, which you need to apply Natural Language Processing Concepts and some Artificial Intelligence Techniques such as Deep Learning methods to make decision about how should be the response. This paper is dedicated to discuss the system architecture for the conversational agent and explain each component in details.