4 citations · 11 across the 6 of their papers we have counts for
6 papers
SocioProbe: What, When, and Where Language Models Learn about Sociodemographics
Anne Lauscher, Federico Bianchi, Samuel Bowman +1
Pre-trained language models (PLMs) have outperformed other NLP models on a wide range of tasks. Opting for a more thorough understanding of their capabilities and inner workings, r…
Bridging Fairness and Environmental Sustainability in Natural Language Processing
Marius Hessenthaler, Emma Strubell, Dirk Hovy +1
Fairness and environmental impact are important research directions for the sustainable development of artificial intelligence. However, while each topic is an active research area…
"It's Not Just Hate'': A Multi-Dimensional Perspective on Detecting Harmful Speech Online
Federico Bianchi, Stefanie Anja Hills, Patricia Rossini +3
Well-annotated data is a prerequisite for good Natural Language Processing models. Too often, though, annotation decisions are governed by optimizing time or annotator agreement. W…
ProSiT! Latent Variable Discovery with PROgressive SImilarity Thresholds
Tommaso Fornaciari, Dirk Hovy, Federico Bianchi
The most common ways to explore latent document dimensions are topic models and clustering methods. However, topic models have several drawbacks: e.g., they require us to choose th…
Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages
Paul Röttger, Debora Nozza, Federico Bianchi +1
Hate speech is a global phenomenon, but most hate speech datasets so far focus on English-language content. This hinders the development of more effective hate speech detection mod…
The State of Profanity Obfuscation in Natural Language Processing
Debora Nozza, Dirk Hovy
Work on hate speech has made the consideration of rude and harmful examples in scientific publications inevitable. This raises various problems, such as whether or not to obscure p…