9 citations · 9 across the 3 of their papers we have counts for
3 papers
Coding historical causes of death data with Large Language Models
Bjørn Pedersen, Maisha Islam, Doris Tove Kristoffersen +4
This paper investigates the feasibility of using pre-trained generative Large Language Models (LLMs) to automate the assignment of ICD-10 codes to historical causes of death. Due t…
More efficient manual review of automatically transcribed tabular data
Bjørn-Richard Pedersen, Rigmor Katrine Johansen, Einar Holsbø +2
Machine learning methods have proven useful in transcribing historical data. However, results from even highly accurate methods require manual verification and correction. Such man…
Lessons learned developing and using a machine learning model to automatically transcribe 2.3 million handwritten occupation codes
Bjørn-Richard Pedersen, Einar Holsbø, Trygve Andersen +4
Machine learning approaches achieve high accuracy for text recognition and are therefore increasingly used for the transcription of handwritten historical sources. However, using m…