29 citations · 36 across the 4 of their papers we have counts for
3 papers · 1 filter
A global analysis of metrics used for measuring performance in natural language processing
Kathrin Blagec, Georg Dorffner, Milad Moradi +2
Measuring the performance of natural language processing models is challenging. Traditionally used metrics, such as BLEU and ROUGE, originally devised for machine translation and s…
Neural sentence embedding models for semantic similarity estimation in the biomedical domain
Kathrin Blagec, Hong Xu, Asan Agibetov +1
BACKGROUND: In this study, we investigated the efficacy of current state-of-the-art neural sentence embedding models for semantic similarity estimation of sentences from biomedical…
Deep learning models are not robust against noise in clinical text
Milad Moradi, Kathrin Blagec, Matthias Samwald
Artificial Intelligence (AI) systems are attracting increasing interest in the medical domain due to their ability to learn complicated tasks that require human intelligence and ex…