Something Old, Something New - Applying a Pre-trained Parsing Model to Clinical Swedish

Information access from clinical text is a research area which has gained a large amount of interest in recent years. Automatic syntactic analysis for the creation of deeper language models is potentially very useful for such methods. However, syntactic parsers that are tailored to accommodate for the distinctive properties of clinical language are rare and costly to build. We present an initial study on the applicability of an existing parser, pretrained on general Swedish, to clinical text in Swedish. We manually evaluate twelve documents and obtain a 92.4% part-ofspeech tagging accuracy and a 76.6% labeled attachment score for the syntactic dependency parsing.