The Glasgow Representation and Information Learning Lab, or GRILL for short, is a research group in the School of Computing Science at the University of Glasgow. We are part of the Information, Data and Analysis Section and world-leading Information Retrieval group.

Our research aims to develop new methods for machine understanding of natural language text and data. We develop new algorithms and artificial intelligence techniques to tackle challenging problems in explainable machine reasoning, language understanding, and information seeking. We aim to push the boundaries of machine intelligence using deep neural networks to enable practical applications. Our recent efforts focus on Conversational Information Seeking, dialogue systems, multi-task information extraction, and multi-modal (music and ECG) representation learning.

Our work is funded by grants from Google, Amazon, Bloomberg research, and The Data Lab. We are contribute to the SOCIAL CDT, a Centre for Doctoral Training on socially intelligent artifical agents.

Turing AI Acceleration Fellowship Opportunities

We are honoured to share that Dr Dalton is one of the fifteen recipients of the prestigious Turing AI Acceleration fellowship.  It is a five year fellowship from UKRI in collaboration with Alan Turing Institute on “Neural Conversational Information Assistants”. See the official AI Fellowship Announcement. Associated with the Fellowship there... [Read More]

GRILL @ the Text Retrieval Conference (TREC) 2020

Multiple GRILL researchers gave talks. A few of the highlights of TREC 2020 involving the GRILL group include: The TREC Conversation Assistance Track (CAsT) overview talk (Jeff Dalton) Conversational Rewriting for CAsT 2020 invited talk (Carlos Gemmell) Podcast summarization combining abstractive and extractive summarization (Paul Owoicho) Invited talk on ‘Social’... [Read More]