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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 ''\emph{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 extraction and Neuro-symbolic solutions for UKI.
I'm currently supervising two BI-REX national projects concerning the integration of LLMs in industrial use cases.
I have participated in several national and international projects focusing on the definition of interpretable and efficient NLP systems.
Vai al Curriculum
