We present an open-source toolkit for Danish natural language processing (NLP), enabling easy access to Danish NLP’s latest advancements. The toolkit features wrapper functions for loading models and datasets in a unified way using third-party NLP frameworks. The toolkit is developed to enhance community building, understanding the need from industry and knowledge sharing. As an example of this, we present Angry Tweets: An Annotation Game to increase Danish NLP awareness and create a new sentiment-annotated dataset.
Title of host publication
Proceedings of the 23rd Nordic Conference on Computational Linguistics
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