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My main research area is integrating unstructured knowledge into deep learning models. I’m
currently focusing on Natural Language Processing (NLP) and Argument Mining, a branch
of NLP that aims at extracting arguments from unstructured texts.
I obtained my PhD from the University of Bologna in 2022 with the thesis ”Towards Integrating
Unstructured Knowledge in Natural Language Processing“. During my PhD I’ve defined the
notion of Unstructured Knowledge Integration (UKI) and investigated its applications in the
fields of Legal Analytics and Argument Mining.
I hold the position of Post-doc Research Fellow at the Computer Science and Engineering
Department (DISI) of the University of Bologna and I’m mainly researching knowledge ex-
traction and Neuro-symbolic solutions for UKI. I’m currently supervising an internal project
concerning the development of interpretable solutions for legal analytics. I have particip-
ated in several national and international projects focusing on the definition of interpretable,
efficient NLP systems, and the integration of LLMs in industrial use cases.
Go to the Curriculum vitae
