[HTML][HTML] Multi-granularity retrieval of mineral resource geological reports based on multi-feature association

K Ma, J Deng, M Tian, L Tao, J Liu, Z Xie, H Huang… - Ore Geology …, 2024 - Elsevier
Massive geologic report contains all kinds of multimodal geologic data information (geologic
text, geologic maps, geologic tables, etc.), which contain a lot of rich geologic basic …

[HTML][HTML] Geological profile-text information association model of mineral exploration reports for fast analysis of geological content

Q Qiu, B Wang, K Ma, Z Xie - Ore Geology Reviews, 2023 - Elsevier
Mineral exploration reports include not only a large number of geological profiles but also
geological text by offering valuable information and knowledge about the geological …

Geogalactica: A scientific large language model in geoscience

Z Lin, C Deng, L Zhou, T Zhang, Y Xu, Y Xu… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have achieved huge success for their general knowledge
and ability to solve a wide spectrum of tasks in natural language processing (NLP). Due to …

Construction and application of a knowledge graph for iron deposits using text mining analytics and a deep learning algorithm

Q Qiu, K Ma, H Lv, L Tao, Z Xie - Mathematical Geosciences, 2023 - Springer
Reports on mineral exploration provide several insights regarding the geological settings of
mineral deposits. However, because the reports are presented as unstructured text, it can be …

[HTML][HTML] GWBNER: A named entity recognition method based on character glyph and word boundary features for Chinese EHRs

J Zhang, X Yu, Z Wang, X Zheng - … of King Saud University-Computer and …, 2023 - Elsevier
Abstract Electronic Health Records (EHRs) contain unprecedented volumes of data related
to health such as diagnosis and treatment information. Based on the technologies of named …

Extracting fact-condition relation from geological papers via deep structured semantic model with multi-grained representation

Q Chen, H Yao, D Zhou, S Li, L Dong - Computers & Geosciences, 2023 - Elsevier
The fact-condition statement plays a significant role in the geological papers, where
geological theory or phenomenon as a fact is constrained by its precondition. This constraint …

[HTML][HTML] The construction of urban rainstorm disaster event knowledge graph considering evolutionary processes

Y Zou, Y Huang, Y Wang, F Zhou, Y Xia, Z Shen - Water, 2024 - mdpi.com
Rainstorm disasters pose a significant threat to the sustainable development of urban areas,
and effectively organizing diverse information sources about them is crucial for emergency …

[HTML][HTML] Information extraction and knowledge linkage of geological profiles and related contextual texts from mineral exploration reports for geological knowledge …

Q Qiu, Y Duan, K Ma, L Tao, Z Xie - Ore Geology Reviews, 2023 - Elsevier
Geological profiles serve as invaluable repositories of data for knowledge extraction and the
identification of geological entities, constituting a fundamental resource in scientific …

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

K Ma, S Zheng, M Tian, Q Qiu, Y Tan, X Hu, HY Li… - Earth Science …, 2023 - Springer
Several recent efforts have been devoted to enhancing pretrained language models (PLMs)
by utilizing extra heterogeneous knowledge in knowledge graphs (KGs) and have achieved …

GeoSMIE: An event extraction framework for Document-Level spatial morphological information extraction

D Chu, B Wan, H Ni, H Li, Z Tan, Y Dai, Z Wan… - Expert Systems with …, 2025 - Elsevier
Spatial morphological information (SMI) in geological texts provides critical insights into the
formation, localization, and distribution of geological bodies. However, SMI is often scattered …