Giulia Rambelli
I am a Post-doc for the ABSTRACTION project. My research is at the intersection between theoretical linguistics, cognitive science, and machine learning. I investigate the meaning aspects of language, interested in the underlying mechanisms in sentence interpretation and productivity. In my thesis, I studied the balance between compositional and direct access to meaning, and how the cognitive process of analogy can be represented as a source of linguistic productivity from a theoretical and computational perspective. I published in major *CL conferences and workshops.
I obtained a joint PhD degree in Linguistics from the University of Pisa (Italy) and Aix-Marseille University (France), under the joint supervision of Alessandro Lenci and Philippe Blache. I collaborate with the Computational Liguistics Laboratory (University of Pisa). I was a member of the Laboratoire Parole et Language (AMU) of the Institute of Language, Communication, and the Brain (ILCB).
I am part of the organizing committee of the international workshops Cognitive Modeling and Computational Linguistics (since 2023) and Analogy-angle (since 2025), colocated with leading conferences in NLP and AI (*CL, IJCAI).
News
- 07.04.2025 - I'm in Groningen visiting the Computational Linguistics Group (Faculty of Arts - Rijksuniversiteit Groningen) for one month!
- 19.02.2025 - Invited talk at VU Amsterdam.
- 17.12.2024 - My first manuscript is OUT! Download here.
- 15.08.2024 - We organized 13th edition of the Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2024) co-located in ACL 2024.
Latest publications
- Giulia Rambelli (2024). Constructions and Compositionality: Cognitive and Computational Explorations. Cambridge University
- Giulia Rambelli, Emmanuele Chersoni, Claudia Collacciani, Marianna Bolognesi (2024). Can Large Language Models Interpret Noun-Noun Compounds? A Linguistically-Motivated Study on Lexicalized and Novel Compounds. In *ACL 2024 (Bangkok, Thailand)*
- Claudia Collacciani, Giulia Rambelli, Marianna Bolognesi (2024). Quantifying Generalizations: Exploring the Divide Between Human and LLMs' Sensitivity to Quantification. In *ACL 2024 (Bangkok, Thailand)*