Papers by Filippo Ficarra
A Distributional Perspective on Word Learning in Neural Language Models (2025.naacl-long)
Copied to clipboard
| Challenge: | Language models are increasingly being studied as models of human language learners. |
| Approach: | They propose a distributional approach to word learning that captures distributional knowledge and gradient preferences for the word’s appropriateness. |
| Outcome: | The proposed signatures capture knowledge of where the target word can and cannot occur as well as gradient preferences about the word’s appropriateness. |