Papers by Dimitrios Zorbas
Autonomous Machine Learning-Based Peer Reviewer Selection System (2025.coling-demos)
Copied to clipboard
| Challenge: | Existing systems that match papers with experts are inefficient and often require long turnaround times. |
| Approach: | They propose an autonomous peer reviewer selection system that employs the natural language processing model to match submitted papers with expert reviewers independently of traditional journals and conferences. |
| Outcome: | The proposed system performs faster and smaller than current models while being more scalable. |