Bioregulatory event extraction using large language models: a case study of rice literature
Abstract The extraction of biological regulation events has been a key focus in the field of biomedical nature language processing (BioNLP). However, existing methods often encounter challenges such as cascading errors in text mining pipelines and limitations in topic coverage from the selected corp...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Korea Genome Organization
2024-10-01
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| Series: | Genomics & Informatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s44342-024-00022-3 |