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How to find us T. (Tommaso) Caselli, PhD

Research interests

event extraction, temporal processing, storyline extraction, sentiment analysis, emotion detection


A Multilingual Approach to Identify and Classify Exceptional Measures against COVID-19

A Narratology-Based Framework for Storyline Extraction

Computational Analysis of Storylines: Making sense of events

DALC: the Dutch Abusive Language Corpus

DNT: un Corpus Diacronico e Multigenere di Testi in Lingua Inglese

Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society

Fighting the COVID-19 Infodemic with a Holistic BERT Ensemble

Finding Narratives in News Flows: The Temporal Dimension of News Stories

Frame Semantics for Social NLP in Italian: Analyzing Responsibility Framing in Femicide News Reports

Guiding Principles for Participatory Design-inspired Natural Language Processing

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