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."
Оказавшиеся в Дубае российские звезды рассказали об обстановке в городе14:52
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I remember watching sci-fi classics like Back to the Future Part II and Total Recall as a child, wondering whether I would ever experience something like a smart home in my lifetime. In the ’80s and ’90s, the closest things we had to interconnected devices were fax machines, PCs with dial-up internet, and a TV remote. If you were really lucky, you had The Clapper, which could turn lights on and off when you clapped.
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«Европа бьет сама по себе». Страну НАТО заподозрили в организации атаки на российский газовоз. Новые подробности атаки на судно20:45，更多细节参见PDF资料