BiGRU-CRF system reaches 96.52% accuracy in power-grid text
A 2026 computational study found that a domain-specific BiGRU-CRF pipeline achieved 96.52% entity-level exact-match accuracy across 6,000 Chinese power-grid text ...
A 2026 computational study found that a domain-specific BiGRU-CRF pipeline achieved 96.52% entity-level exact-match accuracy across 6,000 Chinese power-grid text ...
A comparative study of five neural architectures on two datasets found that ELECTRA had the highest full-data accuracy for token-level ...
Researchers at the Research Foundation for SUNY have developed SafeSeal, a patent-pending watermarking system that embeds detectable marks in large ...
Researchers have unveiled Atenea, an open-source platform that continuously archives public Telegram channels, enriches messages with NLP, and enables semantic ...
Researchers at the University of Kashan have developed GGIP2P, a modular pipeline that combines BERT-based entity recognition, pronoun resolution, spatial ...
A new framework called MR-UIE trains large language models to reason from multiple perspectives before extracting structured information, setting new ...
Researchers in China combined a fine-tuned large language model with a TWTA fault knowledge graph to achieve a 94.56 percent ...
Researchers used BERT-based natural language processing on 42,852 LinkedIn comments to reveal that employee discourse shifted sharply toward work-life balance ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine