AI Synergies


Jaap Kamps

Assoc. Professor

Learning to Transform, Combine, and Reason in Open-Domain Question Answering

Users seek direct answers to complex questions from large open domain knowledge sources like the Web.  In this paper, we propose a deep learning model based on the Transformer architecture that is able to efficiently operate over a larger set of candidate documents by effectively combining the evidence from these documents during multiple steps of reasoning, while it is robust against noise from low-ranked non-relevant documents included in the set.


Jaap Kamps is an associate professor of information retrieval at the University of Amsterdam, and a leading member of it’s world-class AI/NLP group.  He mostly focused on text understanding for search and large scale information access.  He has published over 400 papers in all major conferences and journals, see:


Halle aux Fûts
Day 2 - Nov 7th

Brewery of Ideas

AI Synergies is organized by VUB/ULB, BNVKI and Brewery of Ideas.

More info about our events