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07/04/2023
Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers
Classifiers tend to learn a false causal relationship between an over-re...
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06/15/2023
ChatGPT for Suicide Risk Assessment on Social Media: Quantitative Evaluation of Model Performance, Potentials and Limitations
This paper presents a novel framework for quantitatively evaluating the ...
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03/24/2023
The crime of being poor
The criminalization of poverty has been widely denounced as a collective...
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02/14/2023
A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified?
As text-to-image systems continue to grow in popularity with the general...
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10/19/2022
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information
Previous works on the fairness of toxic language classifiers compare the...
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06/08/2022
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models
Motivations for methods in explainable artificial intelligence (XAI) oft...
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05/06/2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection
We present a novel feature attribution method for explaining text classi...
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04/05/2022
Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors
Robustness of machine learning models on ever-changing real-world data i...
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06/04/2021
Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model
Stereotypical language expresses widely-held beliefs about different soc...
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05/19/2021
A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning
We curated WikiPII, an automatically labeled dataset composed of Wikiped...
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12/22/2020
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective
The pervasiveness of abusive content on the internet can lead to severe ...
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10/28/2020
Towards Ethics by Design in Online Abusive Content Detection
To support safety and inclusion in online communications, significant ef...
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10/14/2020
On Cross-Dataset Generalization in Automatic Detection of Online Abuse
NLP research has attained high performances in abusive language detectio...
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06/09/2020
Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience
When comparing entities extracted by a medical entity recognition system...
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10/03/2019