Improving Chatbot Responses with Context and Deep Seq2Seq Reinforcement Learning

Abstract excerpt

Developing conversational agents that can generate appropriate responses for meaningful and natural conversations between humans and machines is a difficult task in the field of artificial intelligence. One key factor for agents to produce accurate responses is the ability to fully and effectively utilize the context of the current utterance in a conversation. However, many previous studies have neglected the rela...

Topics

Open a Topic to create a Post that cites this publication.

• Algorithms
• COVID-19 diagnosis using AI
• Ethics in Clinical Research
• Genomics and Rare Diseases
• Infant Development and Preterm Care
• Mutation
• Natural Language Processing
• Retinopathy of Prematurity Studies

Identifiers and source

Literature Corpus work

9736a7f8-e586-5780-b0ca-b6914ac1ee11

DOI

10.21203/rs.3.rs-2477905/v1