Location reference recognition from texts: A survey and comparison

X Hu, Z Zhou, H Li, Y Hu, F Gu, J Kersten, H Fan… - ACM Computing …, 2023 - dl.acm.org
A vast amount of location information exists in unstructured texts, such as social media
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …

A survey of automatic text summarization: Progress, process and challenges

MF Mridha, AA Lima, K Nur, SC Das, M Hasan… - IEEE …, 2021 - ieeexplore.ieee.org
With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …

Understanding ore-forming conditions using machine reading of text

M Enkhsaikhan, EJ Holden, P Duuring, W Liu - Ore Geology Reviews, 2021 - Elsevier
Mineral exploration reports assist present day exploration by providing valuable
observations about the geological environments in which mineral deposits form. Querying …

Joint extraction of entities, relations, and events via modeling inter-instance and inter-label dependencies

M Van Nguyen, B Min, F Dernoncourt… - Proceedings of the …, 2022 - aclanthology.org
Event trigger detection, entity mention recognition, event argument extraction, and relation
extraction are the four important tasks in information extraction that have been performed …

A knowledge graph method for hazardous chemical management: Ontology design and entity identification

X Zheng, B Wang, Y Zhao, S Mao, Y Tang - Neurocomputing, 2021 - Elsevier
Hazardous chemicals are widely used in the production activities of the chemical industry.
The risk management of hazardous chemicals is critical to the safety of life and property …

Deep learning-based named entity recognition and knowledge graph construction for geological hazards

R Fan, L Wang, J Yan, W Song, Y Zhu… - … International Journal of …, 2019 - mdpi.com
Constructing a knowledge graph of geological hazards literature can facilitate the reuse of
geological hazards literature and provide a reference for geological hazard governance …

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

B Wang, L Wu, Z **e, 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 …

Chinese engineering geological named entity recognition by fusing multi-features and data enhancement using deep learning

Q Qiu, M Tian, Z Huang, Z **e, K Ma, L Tao… - Expert Systems with …, 2024 - Elsevier
The engineering geology report serves as a comprehensive portrayal of the geological
conditions and information within a surveyed region, making it highly valuable for extracting …

E-NER--An Annotated Named Entity Recognition Corpus of Legal Text

TWT Au, IJ Cox, V Lampos - arxiv preprint arxiv:2212.09306, 2022 - arxiv.org
Identifying named entities such as a person, location or organization, in documents can
highlight key information to readers. Training Named Entity Recognition (NER) models …

Few-shot learning for name entity recognition in geological text based on GeoBERT

H Liu, Q Qiu, L Wu, W Li, B Wang, Y Zhou - Earth Science Informatics, 2022 - Springer
Geological reports are records of the geological elements and survey contents found in
geological exploration, but it is difficult to extract useful concepts from such reports. In the …