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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Amanda Cercas Curry

Postdoc

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Anne Lauscher

Postdoc

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Debora Nozza

Postdoc

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Federico Bianchi

Postdoc

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Giuseppe Attanasio

Postdoc

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Matthias Orlikowski

Visiting PhD Student

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Paul Röttger

Visiting PhD Student

Alumni

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Tommaso Fornaciari

Postdoc

Direttore Tecnico Superiore della Polizia di Stato

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Kilian Theil

Visiting Researcher

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Pietro Lesci

Bain & Company

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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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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XLM-EMO: Multilingual Emotion Prediction in Social Media Text

April, 2022
Detecting emotion in text allows social and computational scientists to study how people behave and react to online events. However, …
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Benchmarking Post-Hoc Interpretability Approaches for Transformer-based Misogyny Detection

April, 2022
Transformer-based Natural Language Processing models have become the standard for hate speech detection. However, the unconscious use …
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Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals

April, 2022
Current language technology is ubiquitous and directly influences individuals' lives worldwide. Given the recent trend in AI on …
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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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