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20212026
most citedTextDescriptives: A Python package for calculating a large variety of metrics from text

22 citations · 34 across the 7 of their papers we have counts for

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cs.CL2026

Is Sentiment Banana-Shaped? Exploring the Geometry and Portability of Sentiment Concept Vectors

Laurits Lyngbaek, Pascale Feldkamp, Yuri Bizzoni +2

Use cases of sentiment analysis in the humanities often require contextualized, continuous scores. Concept Vector Projections (CVP) offer a recent solution: by modeling sentiment a…

cs.CL2024

DANSK and DaCy 2.6.0: Domain Generalization of Danish Named Entity Recognition

Kenneth Enevoldsen, Emil Trenckner Jessen, Rebekah Baglini

Named entity recognition is one of the cornerstones of Danish NLP, essential for language technology applications within both industry and research. However, Danish NER is inhibite…

cs.CL2023★ 1 cited

Danish Foundation Models

Kenneth Enevoldsen, Lasse Hansen, Dan S. Nielsen +10

Large language models, sometimes referred to as foundation models, have transformed multiple fields of research. However, smaller languages risk falling behind due to high training…

cs.CL2023★ 22 cited

TextDescriptives: A Python package for calculating a large variety of metrics from text

Lasse Hansen, Ludvig Renbo Olsen, Kenneth Enevoldsen

TextDescriptives is a Python package for calculating a large variety of metrics from text. It is built on top of spaCy and can be easily integrated into existing workflows. The pac…

cs.CL2021★ 6 cited

DaCy: A Unified Framework for Danish NLP

Kenneth Enevoldsen, Lasse Hansen, Kristoffer Nielbo

Danish natural language processing (NLP) has in recent years obtained considerable improvements with the addition of multiple new datasets and models. However, at present, there is…