DaNLP: An open-source toolkit for Danish Natural Language Processing
- Amalie Brogaard Pauli,
- Maria Jung Barrett,
- Ophélie Lacroix,
- Rasmus Hvingelby
- Alexandra Instituttet A/S,
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Abstract
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.
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 460-466Publication milestones
- Published - 2021
Publication status
Published - 2021
Publisher
Linköping University PressHost publication title
Proceedings of the 23rd Nordic Conference on Computational LinguisticsAccess to documents
Final published version
Related Event
Title
Nordic Conference on Computational Linguistics
Event type
ConferenceDegree of recognition
International eventDate
31/05/2021 - 02/06/2021Location
RejkjavikIceland
