Extracting circumstances of Covid-19 transmission from free text with large language models
Abstract Identifying the circumstances of transmission of an emerging infectious disease rapidly is central for mitigation efforts. Here, we explore how large language models (LLMs) can automatically extract such circumstances from free-text descriptions in online surveys, in the context of Covid-19...
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| Hauptverfasser: | , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Portfolio
2025-07-01
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| Schriftenreihe: | Nature Communications |
| Online-Zugang: | https://doi.org/10.1038/s41467-025-60762-w |
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