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Found 8 papers, 4 papers with code
Encoder vs Decoder: Comparative Analysis of Encoder and Decoder Language Models on Multilingual NLU Tasks
This paper explores the performance of encoder and decoder language models on multilingual Natural Language Understanding (NLU) tasks, with a broad focus on Germanic languages.
$S^3$ -- Semantic Signal Separation
Topic models are useful tools for discovering latent semantic structures in large textual corpora.
The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding
The evaluation of English text embeddings has transitioned from evaluating a handful of datasets to broad coverage across many tasks through benchmarks such as MTEB.
DANSK and DaCy 2.6.0: Domain Generalization of Danish Named Entity Recognition
Named entity recognition is one of the cornerstones of Danish NLP, essential for language technology applications within both industry and research.
Augmenty: A Python Library for Structured Text Augmentation
Augmnety is a Python library for structured text augmentation.
Danish Foundation Models
Large language models, sometimes referred to as foundation models, have transformed multiple fields of research.
TextDescriptives: A Python package for calculating a large variety of metrics from text
TextDescriptives is a Python package for calculating a large variety of metrics from text.
DaCy: A Unified Framework for Danish NLP
In addition, we conduct a series of tests for biases and robustness of Danish NLP pipelines through augmentation of the test set of DaNE.
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