Identifying valuable information within the extensive texts documented in natural language
presents a significant challenge in various disciplines. Named Entity Recognition (NER), as …

Large-scale mineral resource reports offer a wealth of information for geological knowledge
mining and mineral explorers' knowledge discovery. The geological conditions in which …

Mineral named entity recognition (MNER) is the extraction for the specific types of entities
from unstructured Chinese mineral text, which is a prerequisite for building a mineral …

A large-scale project produces a lot of text data during construction commonly achieved as
various management reports. Having the right information at the right time can help the …

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 …

Geological reports aid in understanding exploration by providing valuable information on
rock formation, evolution and the geological environment in which deposits formed …

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 …

Toponym recognition, or the challenge of detecting place names that have a similar referent,
is involved in a number of activities connected to geographical information retrieval and …

The ever-changing market demand accelerates the iterative upgrading of new energy
vehicles, making understanding user requirements crucial for optimizing product strategies …

Temporal information extraction from social media messages is of critical importance to
several geographical applications. Combined with the characteristics of temporal …