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."
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It will likely be a “messy” month for airlines operating throughout the Middle East as travellers stuck in major transit hubs are slowly rerouted and repatriated after days of turmoil due to the ongoing conflict in Iran.，更多细节参见爱思助手下载最新版本
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Зеленский заявил о запросе от США на участие Киева в ситуации на Ближнем Востоке20:47