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01/30/2023
How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text Classification
To mitigate gender bias in contextualized language models, different int...
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11/15/2022
RobBERT-2022: Updating a Dutch Language Model to Account for Evolving Language Use
Large transformer-based language models, e.g. BERT and GPT-3, outperform...
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07/10/2022
FairDistillation: Mitigating Stereotyping in Language Models
Large pre-trained language models are successfully being used in a varie...
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04/28/2022
RobBERTje: a Distilled Dutch BERT Model
Pre-trained large-scale language models such as BERT have gained a lot o...
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12/14/2021
Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models
An increasing awareness of biased patterns in natural language processin...
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04/20/2021
Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium Using Multilingual BERT
We classify seven months' worth of Belgian COVID-related Tweets using mu...
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10/26/2020
Dutch Humor Detection by Generating Negative Examples
Detecting if a text is humorous is a hard task to do computationally, as...
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05/14/2020
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning
Machine learning is being integrated into a growing number of critical s...
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01/17/2020
RobBERT: a Dutch RoBERTa-based Language Model
Pre-trained language models have been dominating the field of natural la...
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10/30/2019