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-review
Open access
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 LinguisticsAbstract
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.
Access 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