Abuse is Contextual, What about NLP? The Role of Context in Abusive Language Annotation and Detection

27 March 2021

Papers citing "Abuse is Contextual, What about NLP? The Role of Context in Abusive Language Annotation and Detection"

4 / 4 papers shown

Title
A Critical Reflection on the Use of Toxicity Detection Algorithms in Proactive Content Moderation Systems Mark Warner Angelika Strohmayer Matthew Higgs Lynne Coventry 21 6 0 19 Jan 2024
Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark Minje Choi Jiaxin Pei Sagar Kumar Chang Shu David Jurgens ALM LLMAG 35 69 0 24 May 2023
ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in Conversational AI Amanda Cercas Curry Gavin Abercrombie Verena Rieser 34 79 0 20 Sep 2021
Disembodied Machine Learning: On the Illusion of Objectivity in NLP Zeerak Talat Smarika Lulz Joachim Bingel Isabelle Augenstein 96 51 0 28 Jan 2021