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RENET2: high-performance full-text gene–disease relation extraction with iterative training data expansion
Relation extraction (RE) is a fundamental task for extracting gene–disease associations from biomedical text. Many state-of-the-art tools have limited capacity, as they can extract gene–disease associations only from single sentences or abstract texts. A few studies have explored extracting gene–dis...
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| Vydáno v: | NAR Genom Bioinform |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Oxford University Press
2021
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8256824/ https://ncbi.nlm.nih.gov/pubmed/34235433 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nargab/lqab062 |
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