conference-paper
Neural Approaches to Conversational AI
Research footprint
At a glance
- Citations
- 388
- References
- 18
- Comments
- 0
Paper overview
Abstract
This tutorial surveys neural approaches to conversational AI that were developed in the last few years. We group conversational systems into three categories: (1) question answering agents, (2) task-oriented dialogue agents, and (3) social bots. For each category, we present a review of state-of-the-art neural approaches, draw the connection between neural approaches and traditional symbolic approaches, and discuss the progress we have made and challenges we are facing, using specific systems and models as case studies.
Record transparency
Publication details
- DOI
- 10.1145/3209978.3210183
- OpenAlex
- W2810840719
- Document type
- conference-paper
- Language
- EN
- Last metadata update
Comments
Log in to join the discussion.