34 citations · 38 across the 5 of their papers we have counts for
5 papers
RealMedQA: A pilot biomedical question answering dataset containing realistic clinical questions
Gregory Kell, Angus Roberts, Serge Umansky +8
Clinical question answering systems have the potential to provide clinicians with relevant and timely answers to their questions. Nonetheless, despite the advances that have been m…
Question answering systems for health professionals at the point of care -- a systematic review
Gregory Kell, Angus Roberts, Serge Umansky +6
Objective: Question answering (QA) systems have the potential to improve the quality of clinical care by providing health professionals with the latest and most relevant evidence.…
GAUCHE: A Library for Gaussian Processes in Chemistry
Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss +24
We introduce GAUCHE, a library for GAUssian processes in CHEmistry. Gaussian processes have long been a cornerstone of probabilistic machine learning, affording particular advantag…
Extracting associations and meanings of objects depicted in artworks through bi-modal deep networks
Gregory Kell, Ryan-Rhys Griffiths, Anthony Bourached +1
We present a novel bi-modal system based on deep networks to address the problem of learning associations and simple meanings of objects depicted in "authored" images, such as fine…
What Would it Take to get Biomedical QA Systems into Practice?
Gregory Kell, Iain J. Marshall, Byron C. Wallace +1
Medical question answering (QA) systems have the potential to answer clinicians uncertainties about treatment and diagnosis on demand, informed by the latest evidence. However, des…