Search Results for author:
Found 6 papers, 0 papers with code
Comparing the Performance of Feature Representations for the Categorization of the Easy-to-Read Variety vs Standard Language
We explore the effectiveness of four feature representations – bag-of-words, word embeddings, principal components and autoencoders – for the binary categorization of the easy-to-read variety vs standard language.
The Swedish Simplification Toolkit: – Designed with Target Audiences in Mind
The toolkit allows user to selectively decide the types of simplification that meet the specific needs of the target audience they belong to.
Evaluating Pre-Trained Language Models for Focused Terminology Extraction from Swedish Medical Records
In the experiments briefly presented in this abstract, we compare the performance of a generalist Swedish pre-trained language model with a domain-specific Swedish pre-trained model on the downstream task of focussed terminology extraction of implant terms, which are terms that indicate the presence of implants in the body of patients.
Cross-Clinic De-Identification of Swedish Electronic Health Records: Nuances and Caveats
Privacy preservation of sensitive information is one of the main concerns in clinical text mining.
Classifying Implant-Bearing Patients via their Medical Histories: a Pre-Study on Swedish EMRs with Semi-Supervised GanBERT
In this paper, we compare the performance of two BERT-based text classifiers whose task is to classify patients (more precisely, their medical histories) as having or not having implant(s) in their body.
Visualizing Facets of Text Complexity across Registers
In this paper, we propose visualizing results of a corpus-based study on text complexity using radar charts.
