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

Associate Professor

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Debora Nozza

Assistant Professor

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Amanda Cercas Curry

Postdoc

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Giuseppe Attanasio

Postdoc

Students

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Greta Damo

Master Student

Alumni

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Anne Lauscher

Associate Professor, University of Hamburg

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Federico Bianchi

Postdoc, Stanford University

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Tommaso Fornaciari

Direttore Tecnico Superiore della Polizia di Stato

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Kilian Theil

Researcher Associate, University of Mannheim

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Matthias Orlikowski

PhD Student, Bielefeld University

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Paul Röttger

PhD Student, University of Oxford

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Pietro Lesci

PhD student, Cambridge University

Projects

INTEGRATOR

Incorporating Demographic Factors into Natural Language Processing Models

Twitter Healthy Conversations

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

Recent Twitter activity

Recent Publications

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Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection Models

July, 2022
Hate speech detection models are typically evaluated on held-out test sets. However, this risks painting an incomplete and potentially …
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HATE-ITA: Hate Speech Detection in Italian Social Media Text

July, 2022
Online hate speech is a dangerous phenomenon that can (and should) be promptly counteracted properly. While Natural Language Processing …
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MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image Modalities

April, 2022
In this paper, we describe the system proposed by the MilaNLP team for the Multimedia Automatic Misogyny Identification (MAMI) …
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Language Invariant Properties in Natural Language Processing

April, 2022
Meaning is context-dependent, but many properties of language (should) remain the same even if we transform the context. For example, …
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Pipelines for Social Bias Testing of Large Language Models

April, 2022
The maturity level of language models is now at a stage in which many companies rely on them to solve various tasks. However, while …
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