About
Researcher, PhD student, AI enthusiast.
A bit about me
I'm Luca Mariotti, a PhD student in Computer Data Science at the University of Modena and Reggio Emilia (UNIMORE), supervised by Prof. Federica Mandreoli.
My academic journey has taken me to the frontiers of artificial intelligence applied to natural language. My research focuses on Knowledge Graph Enrichment, Relation Extraction, Large Language Models, and the evaluation of conversational systems.
I'm an active member of ISGroup and participate in the European project WASABI (Grant Agreement No. 101092176), focused on Digital Intelligent Assistance solutions and human-AI collaboration in the manufacturing sector. Within the project, I contribute to the development and evaluation of digital assistance solutions for knowledge-intensive manufacturing processes, with a focus on operational support, quality, and human-AI interaction.
Before my PhD, I earned my Master's Degree in Computer Science with honors and my Bachelor's Degree from the University of Parma. I also served as Adjunct Professor for the Databases course at UNIMORE during the academic year 2022/2023.
Academic Background
PhD in Computer Data Science
Supervisor: Prof. Federica Mandreoli. Research on Knowledge Graphs, Large Language Models, Natural Language Processing, and Digital Intelligent Assistance. Participation in the European WASABI project, focused on intelligent digital assistance solutions and human-AI collaboration in the manufacturing sector.
Adjunct Professor
Databases course (3 ECTS): SQL, DBMS, relational algebra, and triggers.
Master's Degree — 110/110 cum Laude
Thesis on influential Twitter users during the pandemic using Text and Graph Analytics.
Bachelor's Degree — 104/110
Thesis on student performance analysis with graph algorithms.
Research Interests
Large Language Models
Research and development of LLMs for relation extraction and Knowledge Graph enrichment. Focus on constrained inference and distant supervision.
Knowledge Graph
Designing systems for the automated construction and validation of knowledge graphs from unannotated textual corpora.
Conversational AI
Evaluation and optimization of RASA-based conversational assistants within the European WASABI project.
Graph Analytics
Analysis of complex networks to identify opinion leaders, social dynamics, and emerging structures in interaction graphs.
Relation Extraction
Pipelines for automatic extraction of semantic relations from text, using Distant Supervision and Contrastive Learning.
Applied NLP
Integration of NLP techniques in enterprise and industrial contexts, including information retrieval systems.