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Getting started
Installation
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Quick start
All-in-one with the spaCy models
Pre-processing tasks
Sentiment analysis
Sequence labelling with flair
Deep NLP with BERT
NER with BERT
Classification with BERT
Contributing
Documentation
Tasks
Pretrained Danish embeddings
Static embeddings
Dynamic embeddings
π Benchmarks
π£ Get started using word embeddings
π References
Part of Speech Tagging
Use cases
Models
π Benchmarks
π References
Dependency Parsing & Noun Phrase Chunking
Dependency Parsing
Noun Phrase Chunking
Use cases
Models
π Benchmarks
Named Entity Recognition
Use cases
Models
π Benchmarks
π References
Named Entity Disambiguation
Use cases
Models
π Benchmarks
π References
Coreference Resolution
Use cases
Models
π Benchmarks
Sentiment Analysis
Use cases
Models
π Benchmarks
Zero-shot Cross-lingual transfer example
π References
Hate Speech Detection
Use cases
Models
π Benchmarks
π References
Frameworks
SpaCy
Performance of the spaCy model
π£ Getting started with the spaCy model
π£ Start βtraining your own text classification model
Flair
One sentence at a time
Dataset analysis
Transformers
BERT
XLM-RoBERTa
Datasets
Danish Dependency Treebank (DaNE)
DaCoref
DKHate
WikiANN
WordSim-353
Danish Similarity Dataset
Twitter Sentiment
Europarl Sentiment1
Europarl Sentiment2
LCC Sentiment
AngryTweets
DanNet
DaUnimorph
DaNED
DaWikiNED
DDisco
π References
Library
Models
Embeddings
BERT models
ELECTRA models
flair models
spaCy models
XLM-R models
Datasets
Dacoref
DaNED & DaWikiNED
DanNet
Danish Dependency Treebank
DKHate
Sentiment datasets
DaUnimorph
WikiANN
Word similarity datasets
DaNLP
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Frameworks
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Frameworks
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SpaCy
Flair
Transformers
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