Giulia Venturi

Giulia Venturi is a Researcher at the Istituto di linguistica computazionale "Antonio Zampolli" (ILC), part of the Consiglio Nazionale delle Ricerche (CNR) in Italy. Her work focuses on computational linguistics, natural language processing, and corpus-based linguistic analysis, with particular expertise in Italian language processing.

Dr. Venturi's research interests span computational linguistics, natural language processing, text simplification, linguistic profiling, corpus linguistics, parliamentary debates analysis, readability assessment, and large language models. Her work often combines theoretical linguistic insights with practical applications in NLP systems. She has made significant contributions to the development and analysis of linguistic resources, particularly for the Italian language.

Her publication record demonstrates expertise in linguistic profiling of language models, corpus construction for parliamentary debates (notably the ParlaMint project), text simplification, and readability assessment. Her work often bridges theoretical linguistics with practical NLP applications, with a strong focus on the Italian language. Recent research has explored how linguistic knowledge can enhance encoder-decoder models, the evaluation of large language models through linguistic constraints, and the construction of high-quality treebanks for Italian parliamentary speeches.

Dr. Venturi has been actively involved in major collaborative projects such as ParlaMint, which creates comparable multilingual corpora of parliamentary debates across Europe. Her work on readability assessment extends to healthcare communication, examining how institutional website readability affects access to services like abortion in Tuscany. She has also contributed to SemEval tasks focused on evaluating neural networks' understanding of presuppositional semantic knowledge.

She collaborates extensively with researchers across Italy and Europe, particularly with Felice Dell'Orletta, Alessio Miaschi, and Dominique Brunato. Her work appears in major computational linguistics venues and contributes to important resources for the research community, including specialized corpora for text simplification and parliamentary discourse analysis.