DaCy is a Danish natural language processing framework made with SpaCy. Its largest pipeline has achieved State-of-the-Art performance on Named entity recognition, part-of-speech tagging and dependency parsing for Danish. This repository contains material for using the DaCy, reproducing the results and guides on usage of the package. Furthermore, it also contains behavioural tests for biases and robustness of Danish NLP pipelines. The package is free available on GitHub and you can always try out a demo for en named entity tagging capabilities here.

Kenneth Enevoldsen
Kenneth Enevoldsen
PhD student in Multimodal Representation Learning

My research interests is in multimodal representation learning with application in decision support systems in Psychiatry and in the Covid-19 response.