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Updated: Sep 9, 2025

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ドイツの臨床文献で否定検出のためのLLMの限界を探る

Richard Zowalla1,2, Martin Wiesner1

  • 1Faculty for Informatics, Heilbronn University, Heilbronn, Germany.

Studies in health technology and informatics
|September 3, 2025
PubMed
まとめ

大型言語モデル (LLM) は,ドイツ語の臨床テキストの否定を検出するのに有望ですが,ルールベースのシステムはより効率的です. 規則に基づく速度とLLMの精度をバランスにするハイブリッドアプローチは,実用的な臨床アプリケーションのために推奨されます.

キーワード:
人工知能大規模な言語モデル言語学自然言語処理

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