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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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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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05/25/2022
Does Moral Code Have a Moral Code? Probing Delphi's Moral Philosophy
In an effort to guarantee that machine learning model outputs conform wi...
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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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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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06/04/2020
SOLO: A Corpus of Tweets for Examining the State of Being Alone
The state of being alone can have a substantial impact on our lives, tho...
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12/05/2019
SemEval-2015 Task 10: Sentiment Analysis in Twitter
In this paper, we describe the 2015 iteration of the SemEval shared task...
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05/11/2018
NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake
Our team, NRC-Canada, participated in two shared tasks at the AMIA-2017 ...
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05/11/2018
Sentiment Composition of Words with Opposing Polarities
In this paper, we explore sentiment composition in phrases that have at ...
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05/11/2018
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems
Automatic machine learning systems can inadvertently accentuate and perp...
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12/05/2017
The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition
Negators, modals, and degree adverbs can significantly affect the sentim...
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12/05/2017
Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation
Rating scales are a widely used method for data annotation; however, the...
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12/05/2017
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling
Access to word-sentiment associations is useful for many applications, i...
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05/05/2016
