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|
|Publisher||Linköping Electronic Conference Proceedings|
|Publication status||Published - 2021|