首页|期刊导航|Acta Geologica Sinica(English Edition)|GeoNER:Geological Named Entity Recognition with Enriched Domain Pre-Training Model and Adversarial Training
Acta Geologica Sinica(English Edition)2024,Vol.98Issue(5):P.1404-1417,14.DOI:10.1111/1755-6724.15213
GeoNER:Geological Named Entity Recognition with Enriched Domain Pre-Training Model and Adversarial Training
摘要
关键词
geological named entity recognition/geological report/adversarial training/confrontation training/global pointer/pre-training model分类
信息技术与安全科学引用本文复制引用
MA Kai,HU Xinxin,TIAN Miao,TAN Yongjian,ZHENG Shuai,TAO Liufeng,QIU Qinjun..GeoNER:Geological Named Entity Recognition with Enriched Domain Pre-Training Model and Adversarial Training[J].Acta Geologica Sinica(English Edition),2024,98(5):P.1404-1417,14.基金项目
financially supported by the Natural Science Foundation of China(Grant No.42301492) (Grant No.42301492)
the National Key R&D Program of China(Grant Nos.2022YFF0711600,2022YFF0801201,2022YFF0801200) (Grant Nos.2022YFF0711600,2022YFF0801201,2022YFF0801200)
the Major Special Project of Xinjiang(Grant No.2022A03009-3) (Grant No.2022A03009-3)
the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources(Grant No.KF-2022-07014) (Grant No.KF-2022-07014)
the Opening Fund of the Key Laboratory of the Geological Survey and Evaluation of the Ministry of Education(Grant No.GLAB 2023ZR01) (Grant No.GLAB 2023ZR01)
the Fundamental Research Funds for the Central Universities。 ()