The shift towards auto-labeling in natural language processing: a literature review on large language model-based methods

Manual data annotation is a challenging and labor-intensive task for subjective natural language processing (NLP) applications like healthcare, cyberbullying, and sentiment analysis, where contextual understanding is required. Annotated data is essential for training supervised Machine Learning (ML)...

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Principais autores:	Hazem A. M. Nabil, Syaheerah Lebai Lutfi, Hala Mulki
Formato:	Artigo
Idioma:	Inglês
Publicado em:	PeerJ Inc. 2026-06-01
coleção:	PeerJ Computer Science
Assuntos:	Large language models Auto-labeling Data annotation Prompt engineering Fine-tuning Literature review
Acesso em linha:	https://peerj.com/articles/cs-3878.pdf
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