1 citations · 1 across the 5 of their papers we have counts for
7 papers
The Ghost Annotator: a Framework to Explore Human Label Variation in Content Moderation through Conformal Prediction
Mirko Lai, Alessandra Urbinati, Simona Frenda +2
Current research primarily focuses on model performance, while comparatively less attention has been devoted to uncertainty estimation, particularly in settings where LLMs are incr…
Challenging the Abilities of Large Language Models in Italian: a Community Initiative
Malvina Nissim, Danilo Croce, Viviana Patti +78
The rapid progress of Large Language Models (LLMs) has transformed natural language processing and broadened its impact across research and society. Yet, systematic evaluation of t…
Are you sure? Measuring models bias in content moderation through uncertainty
Alessandra Urbinati, Mirko Lai, Simona Frenda +1
Automatic content moderation is crucial to ensuring safety in social media. Language Model-based classifiers are being increasingly adopted for this task, but it has been shown tha…
Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech
Tanvi Dinkar, Aiqi Jiang, Simona Frenda +4
Counterspeech, i.e. the practice of responding to online hate speech, has gained traction in NLP as a promising intervention. While early work emphasised collaboration with non-gov…
GFG -- Gender-Fair Generation: A CALAMITA Challenge
Simona Frenda, Andrea Piergentili, Beatrice Savoldi +7
Gender-fair language aims at promoting gender equality by using terms and expressions that include all identities and avoid reinforcing gender stereotypes. Implementing gender-fair…
O-Dang! The Ontology of Dangerous Speech Messages
Marco A. Stranisci, Simona Frenda, Mirko Lai +5
Inside the NLP community there is a considerable amount of language resources created, annotated and released every day with the aim of studying specific linguistic phenomena. Desp…
APPReddit: a Corpus of Reddit Posts Annotated for Appraisal
Marco Antonio Stranisci, Simona Frenda, Eleonora Ceccaldi +3
Despite the large number of computational resources for emotion recognition, there is a lack of data sets relying on appraisal models. According to Appraisal theories, emotions are…