DaNLP: An open-source toolkit for Danish Natural Language Processing
- Amalie Brogaard Pauli,
- Maria Jung Barrett,
- Ophélie Lacroix,
- Rasmus Hvingelby
- Alexandra Instituttet A/S,
Publikation:
Konference artikel i Proceeding eller bog/rapport kapitel
Konferencebidrag i proceedings
Forskning
Peer-reviewOpen Access
Resume
We present an open-source toolkit for Danish Natural Language Processing, 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 create awareness of Danish NLP and create a new sentiment-annotated dataset.
Publikation information
Produktionstype
Publikation:
Konference artikel i Proceeding eller bog/rapport kapitel
Konferencebidrag i proceedings
Forskning
Peer-reviewOriginalsprog
EngelskSider fra-til (Antal sider)
Sider 460-466Publikationsmilepæle
- Udgivet - 2021
Publikationsstatus
Udgivet - 2021
Forlag
Linköping University PressTitel på værtspublikation
Proceedings of the 23rd Nordic Conference on Computational LinguisticsAdgang til dokumenter
Forlagets udgivne version
Relateret event
Titel
Nordic Conference on Computational Linguistics
Begivenhedstype
KonferenceGrad af anerkendelse
International begivenhedDato
31/05/2021 - 02/06/2021Lokation
RejkjavikIsland
