Výsledky vyhledávání - "weakly training data"

Weakly Supervised Deep Learning for Arabic Tweet Sentiment Analysis on Education Reforms: Leveraging Pre-Trained Models and LLMs With Snorkel

Autoři: Alanoud Alotaibi Farrukh Nadeem Mohamed Hamdy

Zdroj: IEEE Access, Vol 13, Pp 30523-30542 (2025)

Témata: AraBERT, large language models, Electrical engineering. Electronics. Nuclear engineering, natural language processing, weakly training data, social media data, weak supervision, TK1-9971

Přístupová URL adresa: https://doaj.org/article/569b9a92a6a045dca6f5b8320d1d241d