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DaNLP: An open-source toolkit for Danish Natural Language Processing

  • Amalie Brogaard Pauli
    ,
  • Maria Jung Barrett
    ,
  • Ophélie Lacroix
    ,
  • Rasmus Hvingelby
Publikation:
Konference artikel i Proceeding eller bog/rapport kapitel
Konferencebidrag i proceedings
Peer-review

Open 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
Peer-review

Originalsprog

Engelsk

Sider fra-til (Antal sider)

Sider 460-466

Publikationsmilepæle

  • Udgivet - 2021

Publikationsstatus

Udgivet - 2021

Forlag

Linköping University Press

Titel på værtspublikation

Proceedings of the 23rd Nordic Conference on Computational Linguistics

Relateret event

Titel

Nordic Conference on Computational Linguistics

Begivenhedstype

Konference

Grad af anerkendelse

International begivenhed

Dato

31/05/2021 - 02/06/2021

Lokation

RejkjavikIsland