Papers by Arne Jonsson

2 papers
Classifying Implant-Bearing Patients via their Medical Histories: a Pre-Study on Swedish EMRs with Semi-Supervised GanBERT (2022.lrec-1)

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Challenge: Identifying the presence of implants in certain patients is important for radiologists because some implants are not compatible with MRI scanning.
Approach: They compare the performance of two BERT-based text classifiers whose task is to classify patients as having or not having implant(s) in their body.
Outcome: The proposed classifiers outperform fully-supervised classifier models on annotated data.
Controllable Sentence Simplification in Swedish Using Control Prefixes and Mined Paraphrases (2024.lrec-main)

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Challenge: Automated Text Simplification (ATS) systems aim to facilitate readability and comprehension by reducing linguistic complexity.
Approach: They propose to use a dataset of Swedish paraphrases to train ATS models utilizing prefix-tuning with control prefixes to provide more control over the simplification.
Outcome: The proposed model improves on the baseline model and compares with previous models.

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