Abstract:We here demonstrate how a set of tools that are being maintained and further developed within the Språkbanken Sam and SWE-CLARIN infrastructures can be employed for creating manually labelled training data in a low-resource setting. As example text, we used the "COVID-19 Open Research Dataset", and created manually annotated training data for its associated Kaggle task, "What do we know about COVID-19 risk factors?". We first used our topic modelling tool to i) select a text set for manual annotation, ii) clas… Show more
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