GDReCo: Fine-grained gene-disease relationship extraction corpus
GDReCo serves as a valuable resource for biomedical research, though ChatGPT's limitations in fine-grained relation extraction are noted.
Authors
- Yibin Wu (ORCID: https://orcid.org/0000-0002-3380-9186)
- Kunlun He (ORCID: https://orcid.org/0000-0002-3335-5700)
- Jinlong Shi (ORCID: https://orcid.org/0000-0003-2674-8685)
- Zhengxing Huang (ORCID: https://orcid.org/0000-0002-2644-8642)
- Yuan Ni (ORCID: https://orcid.org/0000-0002-4690-7869)
- Huijun Yu (ORCID: https://orcid.org/0000-0001-8108-4434)
- Suyan Bian
- Sheng Zhang (ORCID: https://orcid.org/0000-0003-3063-2917)
- Weidong Wang (ORCID: https://orcid.org/0000-0003-2523-3145)
- Qian Jia (ORCID: https://orcid.org/0000-0002-3666-8235)
- Jing Wu
- Huiyu Yan
- Y. Zhou (ORCID: https://orcid.org/0000-0002-7868-6706)
Institutions
- Capital Medical University (CN)
- Beijing Jiaotong University (CN)
- Chinese PLA General Hospital (CN)
- Ping An (China)
- Zhejiang University (CN)
- Ministry of Industry and Information Technology (CN)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2025-04-11
- DOI
- https://doi.org/10.1016/j.cmpb.2025.108773
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Key Research and Development Program of China