Stefano Menini
Senior Researcher
Short bio
After my bachelor's degree in Philosophy at the University of Verona, I moved towards a more computational approach to texts and I got a master's degree in Philosophy and Language at the University of Trento that, beside philosophy, gave me a background in Natural Language Processing and Logics. My master's thesis work was about modeling the meaning of determiners by using a distributional semantic approach and it was carried out under the supervision of Marco Baroni. In September 2018 I obtained my Ph.D. in Information Technologies at the ICT Doctoral School of the University of Trento with a thesis on the classification of topic based agreement and disagreement in the political domain under the supervision of Sara Tonelli.
In 2021 I worked at CELCT, a company that operated in the field of the evaluation of language and communication technologies, where I worked on corpora creation and annotation tasks for NLP.
My areas of research cover the automatic detection of cyberbullying (CREEP Project), hatespeech (HATEMETER project) and language simplification (SIMPATICO project).
Publications
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Munari, Federico; Leonardelli, Elisa; Menini, Stefano; Morais Righi, Herica; Sobrero, Maurizio; Tonelli, Sara; Toschi, Laura,Public research funding and science-based innovation: An analysis of ERC research grants, publications and patents,in «RESEARCH EVALUATION»,2024
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Akdemir, Kiymet; Hürriyetoğlu, Ali; Troncy, Raphaël; Paccosi, Teresa; Menini, Stefano; Zinnen, Mathias; Christlein, Vincent,Multimodal and Multilingual Understanding of Smells using VilBERT and mUNITER,Proceedings of MediaEval 2022 CEUR Workshop,2022
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Palmero Aprosio, Alessio; Menini, Stefano; Tonelli, Sara,BERToldo, the Historical BERT for Italian,Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages,2022
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Menini, Stefano; Paccosi, Teresa; Tekiroglu, Serra Sinem; Tonelli, Sara,Proceedings of the Thirteenth Language Resources and Evaluation Conference,European Language Resources Association,2022, pp. 4030-4039