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Found 9 papers, 3 papers with code
The Danish Gigaword Corpus
Danish language technology has been hindered by a lack of broad-coverage corpora at the scale modern NLP prefers.
DaNLP: An open-source toolkit for Danish Natural Language Processing
We present an open-source toolkit for Danish Natural Language Processing, enabling easy access to Danish NLP’s latest advancements.
How To Overcome Confirmation Bias in Semi-Supervised Image Classification By Active Learning
We conduct experiments with SSL and AL on simulated data challenges and find that random sampling does not mitigate confirmation bias and, in some cases, leads to worse performance than supervised learning.
Multimodal Deep Learning
This book is the result of a seminar in which we reviewed multimodal approaches and attempted to create a solid overview of the field, starting with the current state-of-the-art approaches in the two subfields of Deep Learning individually.
Deep Semi-Supervised Learning for Time Series Classification
Based on these adaptations, we explore the potential of deep semi-supervised learning in the context of time series classification by evaluating our methods on large public time series classification problems with varying amounts of labelled samples.
Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias
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 highlight model preferences that are "hallucinatory", e. g., disambiguating gender-ambiguous occurrences of 'doctor' as male doctors.
The Danish Gigaword Project
Danish language technology has been hindered by a lack of broad-coverage corpora at the scale modern NLP prefers.
Towards a Gold Standard for Evaluating Danish Word Embeddings
The goal standard is applied for evaluating the {``}goodness{''} of six existing word embedding models for Danish, and it is discussed how a relatively low correlation can be explained by the fact that semantic similarity is substantially more challenging to model than relatedness, and that there seems to be a need for future human judgments to measure similarity in full context and along more than a single spectrum.
DaNE: A Named Entity Resource for Danish
We present a named entity annotation for the Danish Universal Dependencies treebank using the CoNLL-2003 annotation scheme: DaNE.
