CnGeoPLM: Contextual knowledge selection and embedding with pretrained language representation model for the geoscience domain

Ma, Kai; Zheng, Shuai; Tian, Miao; Qiu, Qinjun; Tan, Yongjian; Hu, Xinxin; Li, HaiYan; Xie, Zhong

doi:10.1007/s12145-023-01112-6

Earth Sci Inform

2023

DOI: 10.1007/s12145-023-01112-6

|View full text |Cite

CnGeoPLM: Contextual knowledge selection and embedding with pretrained language representation model for the geoscience domain

Kai Ma,

Shuai Zheng,

Miao Tian

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

2025

Publication Types

Select...

Article3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A deep learning-based method for deep information extraction from multimodal data for geological reports to support geological knowledge graph construction

Chen,

Tian,

et al. 2024

Earth Sci Inform

View full text Add to dashboard Cite

A deep learning-based method for deep information extraction from multimodal data for geological reports to support geological knowledge graph construction

Chen,

Tian,

et al. 2024

Earth Sci Inform

View full text Add to dashboard Cite

Chinese mineral exploration named entity recognition for literature mining by fusing multi-features with an enhancement domain pre-training model

Wu,

Liu,

Miao

et al. 2025

Ore Geology Reviews

View full text Add to dashboard Cite

Future-proofing geotechnics workflows: accelerating problem-solving with large language models

Wu,

Otake,

Mizutani

et al. 2024

Georisk: Assessment and Management of Risk for Engineered Syste

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

CnGeoPLM: Contextual knowledge selection and embedding with pretrained language representation model for the geoscience domain

Cited by 3 publications

References 45 publications

A deep learning-based method for deep information extraction from multimodal data for geological reports to support geological knowledge graph construction

A deep learning-based method for deep information extraction from multimodal data for geological reports to support geological knowledge graph construction

Chinese mineral exploration named entity recognition for literature mining by fusing multi-features with an enhancement domain pre-training model

Future-proofing geotechnics workflows: accelerating problem-solving with large language models

Contact Info

Product

Resources

About