51 citations · 73 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus
Daniela Trotta, Raffaele Guarasci, Elisa Leonardelli +1
The development of automated approaches to linguistic acceptability has been greatly fostered by the availability of the English CoLA corpus, which has also been included in the wi…
Empowering NGOs in Countering Online Hate Messages
Yi-Ling Chung, Serra Sinem Tekiroglu, Sara Tonelli +1
Studies on online hate speech have mostly focused on the automated detection of harmful messages. Little attention has been devoted so far to the development of effective strategie…
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,…