Italian

Detoxify-IT: An Italian Parallel Dataset for Text Detoxification

Toxic language online poses growing challenges for content moderation. Detoxification, which rewrites toxic content into neutral form, offers a promising alternative but remains underexplored beyond English. We present Detoxify-IT, the first Italian …

MONICA: Monitoring Coverage and Attitudes of Italian Measures in Response to COVID-19

Modern social media have long been observed as a mirror for public discourse and opinions. Especially in the face of exceptional events, computational language tools are valuable for understanding public sentiment and reacting quickly. During the …

XLM-EMO: Multilingual Emotion Prediction in Social Media Text

Detecting emotion in text allows social and computational scientists to study how people behave and react to online events. However, developing these tools for different languages requires data that is not always available. This paper collects the …

FEEL-IT: Emotion and Sentiment Classification for the Italian Language

Sentiment analysis is a common task to understand people's reactions online. Still, we often need more nuanced information: is the post negative because the user is angry or because they are sad? An abundance of approaches has been introduced for …