Projects per year
Project Details
Description
DaCy is a Danish text processing pipeline built using SpaCy. At the time of writing, it has achieved State-of-the-Art performance on part-of-speech (POS) tagging, named-entity recognition (NER) and Dependency parsing for Danish. Furthermore, it integrates state-of-the-art Danish resources in one unifying and extensible framework for allow for easy access to these resources by researchers and industry.
Layman's description
DaCy is a tool for processing free-form text such as news, online written text, historical Danish or similar. This processing include among other things automatic extraction of names of individuals, organisation and location, the detection of tone, subjectivity and emotional content in text, or even a syntactical analysis of the text.
| Short title | DaCy |
|---|---|
| Acronym | DaCy |
| Status | Active |
| Effective start/end date | 01/02/2021 → … |
Keywords
- Natural Language Processing
- Danish Language processing
Fingerprint
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Projects
- 2 Active
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DFM: Danish Foundation Models
Enevoldsen, K. C. (Participant), Nielbo, K. L. (PI) & Sørensen, L. E. (Project manager)
Ministry of Digital Affairs, The Danish e-Infrastructure Cooperation (DeIC)
01/01/2022 → …
Project: Research
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Augmenty: Augmenty, the cherry on top of your NLP pipeline
Enevoldsen, K. C. (PI)
01/08/2021 → …
Project: Research
Research output
- 1 Preprint
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DaCy: A Unified Framework for Danish NLP
Enevoldsen, K., Hansen, L. & Nielbo, K. L., 2021, ArXiv.Research output: Working paper/Preprint › Preprint
Open Access
Press/Media
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Nye værktøjer og modeller på sprogteknologi.dk
08/09/2021
1 Media contribution
Press/Media: Press / Media