51 citations · 60 across the 3 of their papers we have counts for
3 papers
Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement
Elisa Leonardelli, Stefano Menini, Alessio Palmero Aprosio +2
Since state-of-the-art approaches to offensive language detection rely on supervised learning, it is crucial to quickly adapt them to the continuously evolving scenario of social m…
Abuse is Contextual, What about NLP? The Role of Context in Abusive Language Annotation and Detection
Stefano Menini, Alessio Palmero Aprosio, Sara Tonelli
The datasets most widely used for abusive language detection contain lists of messages, usually tweets, that have been manually judged as abusive or not by one or more annotators,…
Creating a Multimodal Dataset of Images and Text to Study Abusive Language
Alessio Palmero Aprosio, Stefano Menini, Sara Tonelli
In order to study online hate speech, the availability of datasets containing the linguistic phenomena of interest are of crucial importance. However, when it comes to specific tar…