Andrew Yates is an Assistant Professor at the University of Amsterdam, where he currently focuses on developing content-based neural ranking methods and leveraging them to improve search and downstream tasks. He has co-authored a variety of papers on neural ranking methods as well as a recent book on transformer-based neural methods. His other interests include information extraction for specialized tasks and domains, such as IE from conversations for personalization and in the medical domain.
Roles in Hybrid Intelligence: Participant
Hybrid Intelligence Research Lines: Explainable HI / Responsible HI
Hybrid Intelligence Projects:
- N/A. Most closely related project when joining HI: 15. Predicting generalizability of NLP experiments.
Research interests: information retrieval, information extraction, personal knowledge bases.
- Assistant Professor, IRLab, University of Amsterdam