Konferensartikel

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

Amalie Brogaard Pauli

Maria Barrett

Ophélie Lacroix

Rasmus Hvingelby

Ladda ner artikel

Ingår i: Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa), May 31-June 2, 2021.

Linköping Electronic Conference Proceedings 178:53, s. 460-466

Visa mer +

Publicerad: 2021-05-21

ISBN: 978-91-7929-614-8

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

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.

Nyckelord

toolkit, Danish, community building

Referenser

Inga referenser tillgängliga

Citeringar i Crossref