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 kapitelKonferencebidrag i proceedingsForskningpeer review

Abstract

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.
OriginalsprogEngelsk
TitelProceedings of the 23rd Nordic Conference on Computational Linguistics
ForlagLinköping Electronic Conference Proceedings
Publikationsdato2021
Sider460-466
StatusUdgivet - 2021

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