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Found 6 papers, 0 papers with code
Vers la compréhension automatique de la parole bout-en-bout à moindre effort (Towards automatic end-to-end speech understanding with less effort)
Les approches de compréhension automatique de la parole ont récemment bénéficié de l’apport de modèles préappris par autosupervision sur de gros corpus de parole.
Romanciers et romancières du XIXème siècle : une étude automatique du genre sur le corpus GIRLS (Male and female novelists : an automatic study of gender of authors and their characters )
Deuxièmement, notre étude textométrique met au jour des stéréotypes de genre chez les hommes et les femmes.
Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices
PD is the most prevalent (78 articles).
Few shot clinical entity recognition in three languages: Masked language models outperform LLM prompting
Results are consistent over the three languages and suggest that few-shot learning using Large language models is not production ready for named entity recognition in the clinical domain.
Vers la compréhension automatique de la parole bout-en-bout à moindre effort
Recent advances in spoken language understanding benefited from Self-Supervised models trained on large speech corpora.
Toward Low-Cost End-to-End Spoken Language Understanding
Recent advances in spoken language understanding benefited from Self-Supervised models trained on large speech corpora.
