Data extraction from polymer literature using large language models
Abstract Automated data extraction from materials science literature at scale using artificial intelligence and natural language processing techniques is critical to advance materials discovery. However, this process for large spans of text continues to be a challenge due to the specific nature and...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
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| Series: | Communications Materials |
| Online Access: | https://doi.org/10.1038/s43246-024-00708-9 |
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