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English(EN) CardioLM: A multilingual suite of small language models for the cardiology domain

CardioLM:心脏病学领域的多语言大型语言模型

研究人员开发了CardioLM,这是一套专门为心脏病学领域任务设计的多语言小型语言模型。该项目包括CardioCCC,一个包含六种语言的翻译和注释病例报告的语料库,以及CardioNER,一个在该语料库上微调的命名实体识别模型。多语言联合训练比特定领域的预训练更能有效地提高跨语言性能,CardioNER在临床效用方面显著优于基线方法。 AI

影响 增强了心脏病学领域多语言临床信息提取能力。

排序理由 发布了一篇研究论文,详细介绍了一个特定领域的新语言模型套件和语料库。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

CardioLM:心脏病学领域的多语言大型语言模型

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发布了一篇研究论文,详细介绍了一个特定领域的新语言模型套件和语料库。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Manuela-Daniela Danu, Miguel Rodr\'iguez-Ortega, Alberto Becerra-Tome, Pablo Arancibia, Fernando Gallego-Donoso, Lorenzo Pratesi, Xi Bai, Andrei-Damian Dinescu, Salvador Lima-L\'opez, Andrea Guala, Saskia Haitjema, Jonas Mack, Michele Miranda, Wesam Al N… ·

    CardioLM:面向心脏病学领域的多语言小型语言模型套件

    arXiv:2611.07940v1 Announce Type: cross Abstract: Background: Cardiovascular care generates large volumes of clinical free-text documentation in local languages. However, clinical natural language processing (NLP) resources remain concentrated in English, and no existing benchmar…