Prompting encoder models for zero-shot classification: a cross-domain study in Italian.

Addressing the challenge of limited annotated data in specialized fields and low-resource languages is crucial for the effective use of language models (LMs). While most large language models (LLMs) are trained on general-purpose English corpora, there is a notable gap in models specifically tailore...

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Publicado en:	Language Resources & Evaluation Vol. 59; no. 4; pp. 3659 - 3698
Autores principales:	Auriemma, Serena, Miliani, Martina, Madeddu, Mauro, Bondielli, Alessandro, Passaro, Lucia, Lenci, Alessandro
Formato:	Artículo
Publicado:	Springer Nature Dec2025
Materias:	Italian language Domain specificity Jargon (Terminology) Machine learning Natural language processing Feature extraction Language models Classification
Acceso en línea:	Ver este registro en EBSCOhost