Sarah Rossi
Biographic Data
| ID | 8963782 |
|---|---|
| NAME | Sarah Rossi |
| GIVEN NAMES | Sarah |
| FAMILY NAME | Rossi |
| SIGNATURE | ROSSI S |
| AFFILIATIONS | Istituto Universitario di Studi Superiori di Pavia |
| ORCID | 0009-0007-2525-2457 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The syntax of Expletive Negation in English
This work aims to describe and analyze a relatively new, puzzling construction that has become very productive in informal registers of English. It is primarily used by younger generations, especially on the web and social-media platforms, but also in spoken language. It appears with the configuration negative marker + subject in the accusative case + gerun d (e.g. Not me taking the train at 5 a.m. ; meaning: it is ironic and unexpected that I to…
From recursion to incrementality
Large language models grounded on attention-based architectures have outperformed recurrent neural networks (RNNs), like those based on long short-term memory (LSTM) gating systems, in various natural language processing tasks. However, despite optimization, these models (i) require unreasonable training data compared to what children need, (ii) exhibit an inverse relationship between their performance and their linguistic explanatory value, and,…
HIV, substance use, and intersectional stigma
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HIV, substance use, and intersectional stigma
The syntax of Expletive Negation in English
This work aims to describe and analyze a relatively new, puzzling construction that has become very productive in informal registers of English. It is primarily used by younger generations, especially on the web and social-media platforms, but also in spoken language. It appears with the configuration negative marker + subject in the accusative case + gerun d (e.g. Not me taking the train at 5 a.m. ; meaning: it is ironic and unexpected that I to…
From recursion to incrementality
Large language models grounded on attention-based architectures have outperformed recurrent neural networks (RNNs), like those based on long short-term memory (LSTM) gating systems, in various natural language processing tasks. However, despite optimization, these models (i) require unreasonable training data compared to what children need, (ii) exhibit an inverse relationship between their performance and their linguistic explanatory value, and,…
Anxiety (1 work) · Artificial neural network (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Cohort (1 work) · Depressive symptoms (1 work) · Environmental health (1 work) · Family medicine (1 work) · Health psychology (1 work) · HIV, Drug Use, Sexual Risk (1 work)