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Found 8 papers, 4 papers with code
KEViN: A Knowledge Enhanced Validity and Novelty Classifier for Arguments
The ArgMining 2022 Shared Task is concerned with predicting the validity and novelty of an inference for a given premise and conclusion pair.
Ranked #2 on
ValNov
on ValNov Subtask A
Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models
Cutting-edge image generation has been praised for producing high-quality images, suggesting a ubiquitous future in a variety of applications.
Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis
We also find racial biases to be much more prevalent than gender biases.
A Robust Bias Mitigation Procedure Based on the Stereotype Content Model
The Stereotype Content model (SCM) states that we tend to perceive minority groups as cold, incompetent or both.
Explainable Abuse Detection as Intent Classification and Slot Filling
To proactively offer social media users a safe online experience, there is a need for systems that can detect harmful posts and promptly alert platform moderators.
AAA: Fair Evaluation for Abuse Detection Systems Wanted
In this work, we introduce Adversarial Attacks against Abuse (AAA), a new evaluation strategy and associated metric that better captures a model’s performance on certain classes of hard-to-classify microposts, and for example penalises systems which are biased on low-level lexical features.
Ranked #1 on
Hate Speech Detection
on Waseem et al., 2018
Towards Successful Collaboration: Design Guidelines for AI-based Services enriching Information Systems in Organisations
Information systems (IS) are widely used in organisations to improve business performance.
Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis
Some users of social media are spreading racist, sexist, and otherwise hateful content.
