[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 …

Understanding geological reports based on knowledge graphs using a deep learning approach

B Wang, L Wu, Z Xie, Q Qiu, Y Zhou, K Ma… - Computers & Geosciences, 2022 - Elsevier
Geological reports aid in understanding exploration by providing valuable information on
rock formation, evolution and the geological environment in which deposits formed …

Applications of Natural Language Processing to Geoscience Text Data and Prospectivity Modeling

CJM Lawley, MG Gadd, M Parsa, GW Lederer… - Natural Resources …, 2023 - Springer
Geological maps are powerful models for visualizing the complex distribution of rock types
through space and time. However, the descriptive information that forms the basis for a …

Evaluating and mitigating the impact of OCR errors on information retrieval

LL de Oliveira, DS Vargas, AMA Alexandre… - International Journal on …, 2023 - Springer
Optical character recognition (OCR) is typically used to extract the textual contents of
scanned texts. The output of OCR can be noisy, especially when the quality of the scanned …

[HTML][HTML] Semantic information extraction and search of mineral exploration data using text mining and deep learning methods

Q Qiu, M Tian, L Tao, Z Xie, K Ma - Ore Geology Reviews, 2024 - Elsevier
Large-scale mineral resource reports offer a wealth of information for geological knowledge
mining and mineral explorers' knowledge discovery. The geological conditions in which …

[HTML][HTML] Geoscience language models and their intrinsic evaluation

CJM Lawley, S Raimondo, T Chen, L Brin… - Applied Computing and …, 2022 - Elsevier
Geoscientists use observations and descriptions of the rock record to study the origins and
history of our planet, which has resulted in a vast volume of scientific literature. Recent …

low resource Chinese geological text named entity recognition based on prompt learning

H He, C Ma, S Ye, W Tang, Y Zhou, Z Yu, J Yi… - Journal of Earth …, 2024 - Springer
Geological reports are a significant accomplishment for geologists involved in geological
investigations and scientific research as they contain rich data and textual information. With …

Enriching the 1758 portuguese parish memories (alentejo) with named entities

R Vieira, F Olival, H Cameron, J Santos… - Journal of Open …, 2021 - dspace.uevora.pt
This work presents an enriched version of the Parish Memories (1758–1761), an essential
Portuguese historical source manually transcribed. It is enriched with annotations of named …

Detecting Entities in the Astrophysics Literature: A Comparison of Word-based and Span-based Entity Recognition Methods

X Dai, S Karimi - arXiv preprint arXiv:2211.13819, 2022 - arxiv.org
Information Extraction from scientific literature can be challenging due to the highly
specialised nature of such text. We describe our entity recognition methods developed as …

Text mining and knowledge graph construction from geoscience literature legacy: A review

C Wang, Y Li, J Chen - 2023 - pubs.geoscienceworld.org
In the recent decade, knowledge graph has been a key technique under quick development
in artificial intelligence. Due to its great potential for tackling big data and solving complex …