Currently employed as an administrative collaborator at Laboratorio MeS of Scuola Superiore Sant’Anna, in Pisa (Italy). Previously, I spent 5 years getting a PhD in computational and experimental linguistics at Scuola Normale Superiore, and much more time looking for a comfy position to assume on the Big Mattress of life. The search is still ongoing.
I believe in food, friendship, Stack Overflow, the beauty of small things, and the importance of being recklessly optimistic.
PhD in Linguistics, 2022
Scuola Normale Superiore
MA in Linguistics, 2016
University of Pisa
BA in Italian Language and Literature, 2014
University "La Sapienza" of Rome
In: Metodi e prospettive della ricerca linguistica. Ed. by Chiara Meluzzi and Nicholas Nese. Consonanze. Milano: Ledizioni.
Our paper offers a computational model of the semantic recoverability of verb arguments, tested in particular on direct objects and Instruments. Our fully distributional model is intended to improve on older taxonomy-based models, which require a lexicon in addition to the training corpus. We computed the selectional preferences of 99 transitive verbs and 173 Instrument verbs as the mean value of the pairwise cosines between their arguments (a weighted mean between all the arguments, or an unweighted mean with the topmost k arguments). Results show that our model can predict the recoverability of objects and Instruments, providing a similar result to that of taxonomy-based models but at a much cheaper computational cost.