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ChemDisGene

ChemDisGene is a new dataset for training and evaluating multi-type multi-label biomedical relation extraction models. It contains a large automatically derived corpus with noisy relationship labels and a cleaner manually curated dataset of 523 abstracts.

Data and Resources

Cite this as

Ye Wang, Huazheng Pan, Tao Zhang, Wen Wu, Wenxin Hu (2024). Dataset: ChemDisGene. https://doi.org/10.57702/th3y0and

DOI retrieved: December 3, 2024

Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2204.06584
Author Ye Wang
More Authors
Huazheng Pan
Tao Zhang
Wen Wu
Wenxin Hu
Homepage https://github.com/www-Ye/P3M