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DaCy: An efficient NLP Pipeline for Danish
Title:
DaCy: An efficient NLP Pipeline for Danish
Year:
2021
Country:
DK🇩🇰
VCC(s):
VCC1
Type:
activity - software development
Description:

DaCy is a Danish natural language preprocessing framework made with SpaCy. Its largest pipeline has achieved State-of-the-Art performance on Named entity recognition, part-of-speech tagging and dependency parsing for Danish. The DaCy repository contains material for using the DaCy, reproducing the results and guides on usage of the package. Furthermore, it also contains behavioural tests for biases and robustness of Danish NLP pipelines.

Contact person:
Kristoffer NielboKenneth Enevoldsen
Object(s):
SoftwareTools
Activity(ies):
AnalysisEnrichment
Technique(s):
Named Entity Recognition > Enrichment-Annotation; Analysis-Content AnalysisPOS-Tagging > Analysis-Structural Analysis
Disciplines:
Computer science
Keywords:
Natural Language Processingsoftware
⌚⏏
Creator:
Kristoffer Nielbo (University of Aarhus) from ⚐
Created on:
2022-03-28 12:08:04
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