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 Objectives: 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.

Affiliations:

• Assistant Professor, IRLab, University of Amsterdam

More information:
Book on transformer-based methods for information retrieval
Personal website