98 citations · 331 across the 28 of their papers we have counts for
14 papers · 2 filters
Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion
Rishav Hada, Amir Ebrahimi Fard, Sarah Shugars +5
Increasingly taking place in online spaces, modern political conversations are typically perceived to be unproductively affirming -- siloed in so called ``echo chambers'' of exclus…
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…
Is It Worth the (Environmental) Cost? Limited Evidence for Temporal Adaptation via Continuous Training
Giuseppe Attanasio, Debora Nozza, Federico Bianchi +1
Language is constantly changing and evolving, leaving language models to become quickly outdated. Consequently, we should continuously update our models with new data to expose the…
Can Demographic Factors Improve Text Classification? Revisiting Demographic Adaptation in the Age of Transformers
Chia-Chien Hung, Anne Lauscher, Dirk Hovy +2
Demographic factors (e.g., gender or age) shape our language. Previous work showed that incorporating demographic factors can consistently improve performance for various NLP tasks…
On the Limitations of Sociodemographic Adaptation with Transformers
Chia-Chien Hung, Anne Lauscher, Dirk Hovy +2
Sociodemographic factors (e.g., gender or age) shape our language. Previous work showed that incorporating specific sociodemographic factors can consistently improve performance fo…
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists
Giuseppe Attanasio, Debora Nozza, Dirk Hovy +1
Natural Language Processing (NLP) models risk overfitting to specific terms in the training data, thereby reducing their performance, fairness, and generalizability. E.g., neural h…
Welcome to the Modern World of Pronouns: Identity-Inclusive Natural Language Processing beyond Gender
Anne Lauscher, Archie Crowley, Dirk Hovy
The world of pronouns is changing. From a closed class of words with few members to a much more open set of terms to reflect identities. However, Natural Language Processing (NLP)…
Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data
Federico Bianchi, Vincenzo Cutrona, Dirk Hovy
Twitter data have become essential to Natural Language Processing (NLP) and social science research, driving various scientific discoveries in recent years. However, the textual da…
Top-Down Influence? Predicting CEO Personality and Risk Impact from Speech Transcripts
Kilian Theil, Dirk Hovy, Heiner Stuckenschmidt
How much does a CEO's personality impact the performance of their company? Management theory posits a great influence, but it is difficult to show empirically -- there is a lack of…