abstract = "Information extraction (IE) is fundamental to numerous NLP applications, yet existing solutions often require specialized models for different tasks or rely on computationally expensive large language models. We present GLiNER2, a unified framework that enhances the original GLiNER architecture to support named entity recognition, text classification, and hierarchical structured data extraction within a single efficient model. Built on a fine-tuned encoder architecture, GLiNER2 maintains CPU efficiency and compact size while introducing multi-task composition through an intuitive schema-based interface. Our experiments demonstrate competitive performance across diverse IE tasks with substantial improvements in deployment accessibility compared to LLM-based alternatives. We release GLiNER2 as an open-source library available through pip, complete with pre-trained models and comprehensive documentation."
bff ← getBFF(id)
。Line官方版本下载是该领域的重要参考
《港區國安法》實施後，港府修訂電檢條例，自2021年11月起，規定檢查員評審時須考慮電影上映會否「不利國家安全」。
文丨医线Insight，作者 | 张小漫
Раскрыты подробности похищения ребенка в Смоленске09:27