Artificial intelligence

People with expertise in this area
Research interests

Matteo Lissandrini: Associate Professor
Simone Rebora: Associate Professor

Marco Rospocher: Associate Professor

Research interests
Topic	People	Description
Artificial Intelligence	Marco Rospocher	Artificial Intelligence tools and technologies
Digital Humanities	Marco Rospocher	Tools and methodologies for Digital Humanties
Digital Social Reading	Simone Rebora	Study of the phenomenon of digital social reading (e.g., online reviews and comments, fanfiction) combining empirical and computational methods.
Information Extraction	Marco Rospocher	Research on tools and techniques for information extraction from text
Information Retrieval	Marco Rospocher	Tools and techniques for Information Retrieval
Knowledge Representation and Reasoning	Matteo Lissandrini Marco Rospocher	Tools and techniques for Knowledge Representation and Reasoning
Language Models	Marco Rospocher	Large Language Models, LLM, LLMs, modelli del linguaggio, bias
Linked Data	Matteo Lissandrini Marco Rospocher	Research on technologies, resources and application of Linked Data
Natural Language Processing	Marco Rospocher	Tools and techniques for Natural Language Processing
Semantic Web	Marco Rospocher	Research on Semantic Web technologies and their application
Stylometry	Simone Rebora	Use of statistical-quantitative methods for the attribution of authorship of literary texts.
Computational Literary Studies	Simone Rebora	Use of computational methods (e.g., natural language processing, machine learning) for the study of the literary text.
Empirical Literary Studies	Simone Rebora	Use of empirical methods (i.e., experimental activities with psycho-physiological measurements) to study the reading experience.
Intermedial Literary Studies	Simone Rebora	Study of literary texts from an intermedial perspective (in particular: crossmediality, transmediality, comparisons across different media).