3 papers
cs.CL2022
Position-based Prompting for Health Outcome Generation
M. Abaho, D. Bollegala, P. Williamson +1
Probing Pre-trained Language Models (PLMs) using prompts has indirectly implied that language models (LMs) can be treated as knowledge bases. To this end, this phenomena has been e…
cs.CL2022
Assessment of contextualised representations in detecting outcome phrases in clinical trials
Micheal Abaho, Danushka Bollegala, Paula R Williamson +1
Automating the recognition of outcomes reported in clinical trials using machine learning has a huge potential of speeding up access to evidence necessary in healthcare decision-ma…
cs.CL2021
Detect and Classify -- Joint Span Detection and Classification for Health Outcomes
Michael Abaho, Danushka Bollegala, Paula Williamson +1
A health outcome is a measurement or an observation used to capture and assess the effect of a treatment. Automatic detection of health outcomes from text would undoubtedly speed u…