20世纪以来，自然语言处理（NLP）领域的发展涌现了许多创新和突破。NLP中许多之前机器不可能完成的任务，如阅读理解、人机对话、自动写新闻稿等，正逐渐成为现实，甚至超越了人类的表现。 如果总结过去20年里，无数先辈辛劳付出带来的璀璨成果，以下3个 ...

标签推荐模型BELHASH结合BERT嵌入与LSTM，在COVID-19推文中实现0.72准确率、0.67 F1分数，首次融合BERT与LSTM优化多标签分类。 摘要 标签（Hashtags）已成为一种新的趋势，用于概括人们的感受、情绪、心情变化、食物口味等。它们还可以代表各种实体，如地点、家庭和 ...

急诊科患者症状提取的NLP模型比较与优化。本研究对比了GLiNER、Mistral-Nemo-Instruct-2407和微调的SCAI-BIO/BioGottBERT模型在德语急诊 ...

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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A group of Google Brain and Carnegie Mellon University researchers this ...

Natural language processing (NLP) is the ability to extract insights from and literally understand natural language within text, audio and images. Language and text hold huge insight, and that data is ...