MilaNLP Lab

We are the Milan Natural Language Processing Group. We study, develop and deploy NLP algorithms to solve real-world problems.

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Meet the team!

Researchers

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Dirk Hovy

Full Professor

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Debora Nozza

Assistant Professor

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Arianna Muti

Postdoc

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Donya Rooein

Postdoc

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Elisa Bassignana

Visiting Postdoc

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Emanuele Moscato

Postdoc

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Joachim Baumann

Postdoc

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Paul Röttger

Postdoc

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Tanise Ceron

Postdoc

Projects

INDOMITA

Innovative Demographically-aware Hate Speech Detection in Online Media in Italian

PERSONAE

Personalized and Subjective approaches to Natural Language Processing

MENTALISM

Measuring, Tracking, and Analyzing Inequality using Social Media

INTEGRATOR

Incorporating Demographic Factors into Natural Language Processing Models

Twitter Healthy Conversations

Devising Metrics for Assessing Echo Chambers, Incivility, and Intolerance on Twitter

Recent BlueSky activity

Recent Publications

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Detoxify-IT: An Italian Parallel Dataset for Text Detoxification

October, 2025
Toxic language online poses growing challenges for content moderation. Detoxification, which rewrites toxic content into neutral form, …
PDF Project

Blue-haired, misandriche, rabiata: Tracing the Connotation of ‘Feminist(s)’ Across Time, Languages and Domains

October, 2025
Understanding how words shift in meaning is crucial for analyzing societal attitudes.In this study, we investigate the contextual …
PDF Project

Untangling Hate Speech Definitions: A Semantic Componential Analysis Across Cultures and Domains

October, 2025
Hate speech relies heavily on cultural influences, leading to varying individual interpretations. For that reason, we propose a …
PDF Project

Leveraging Media Frames to Improve Normative Diversity in News Recommendations

September, 2025
Click-based news recommender systems suggest users content that aligns with their existing history, limiting the diversity of articles …
PDF Project

Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification?

September, 2025
We introduce Co-DETECT (Collaborative Discovery of Edge cases in TExt ClassificaTion), a novel mixed-initiative annotation framework …
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