4 papers
Mobile Phone Sensor-based Nigerian Driving Dataset to Detect Alcohol-influenced Behaviours
Iniakpokeikiye Peter Thompson, Yi Dewei, Reiter Ehud
This paper presents a unique driving dataset collected in Nigeria via mobile phone sensors to support a machine learning model for detecting alcohol-influenced driving behaviours,…
An End-to-End System for Culturally-Attuned Driving Feedback using a Dual-Component NLG Engine
Iniakpokeikiye Peter Thompson, Yi Dewei, Reiter Ehud
This paper presents an end-to-end mobile system that delivers culturally-attuned safe driving feedback to drivers in Nigeria, a low-resource environment with significant infrastruc…
We Should Evaluate Real-World Impact
Ehud Reiter
The ACL community has very little interest in evaluating the real-world impact of NLP systems. A structured survey of the ACL Anthology shows that perhaps 0.1% of its papers contai…
Patient-Centred Explainability in IVF Outcome Prediction
Adarsa Sivaprasad, Ehud Reiter, David McLernon +3
This paper evaluates the user interface of an in vitro fertility (IVF) outcome prediction tool, focussing on its understandability for patients or potential patients. We analyse fo…