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Found 4 papers, 0 papers with code
Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text
Also, we propose a novel multi-task temporal information extraction model and investigate whether multi-task learning can contribute to performance improvement by exploiting additional training signals with the existing training data.
An exploratory data analysis: the performance differences of a medical code prediction system on different demographic groups
This study aims to investigate further imbalance in a medical code prediction dataset in terms of demographic variables and analyse performance differences in demographic groups.
Building blocks of a task-oriented dialogue system in the healthcare domain
There has been significant progress in dialogue systems research.
On the Calibration of Probabilistic Classifier Sets
In this paper, we extend the notion of calibration, which is commonly used to evaluate the validity of the aleatoric uncertainty representation of a single probabilistic classifier, to assess the validity of an epistemic uncertainty representation obtained by sets of probabilistic classifiers.
