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Rasmus Hvingelby

Fraunhofer

6 papers hereh-index 6148 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.LG3
affiliations
  • Fraunhofer
ORCID 0000-0002-4803-3819

identity via Semantic Scholar / OpenAlex

activity
20202024
most citedDeep Semi-Supervised Learning for Time Series Classification

7 citations · 13 across the 6 of their papers we have counts for

collaborators
Showing cs.CLShow all

3 papers · 1 filter

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.CL2020

Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias

Ana Valeria Gonzalez, Maria Barrett, Rasmus Hvingelby +2

The one-sided focus on English in previous studies of gender bias in NLP misses out on opportunities in other languages: English challenge datasets such as GAP and WinoGender highl…

cs.CL2020★ 6 cited

The Danish Gigaword Project

Leon Strømberg-Derczynski, Manuel R. Ciosici, Rebekah Baglini +12

Danish language technology has been hindered by a lack of broad-coverage corpora at the scale modern NLP prefers. This paper describes the Danish Gigaword Corpus, the result of a f…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.