Temporal convolutional networks for the advance prediction of ENSO
Abstract El Niño-Southern Oscillation (ENSO), which is one of the main drivers of Earth's
inter-annual climate variability, often causes a wide range of climate anomalies, and the …
inter-annual climate variability, often causes a wide range of climate anomalies, and the …
[HTML][HTML] Visual analytics and information extraction of geological content for text-based mineral exploration reports
A large amount of continuously increasing textual geoscience data is stored and not fully
utilized. Text mining enables the discovery and analysis of valuable information, and …
utilized. Text mining enables the discovery and analysis of valuable information, and …
Understanding ore-forming conditions using machine reading of text
Mineral exploration reports assist present day exploration by providing valuable
observations about the geological environments in which mineral deposits form. Querying …
observations about the geological environments in which mineral deposits form. Querying …
Geogalactica: A scientific large language model in geoscience
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 …
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
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 …
mineral deposits. However, because the reports are presented as unstructured text, it can be …
Automatic spatiotemporal and semantic information extraction from unstructured geoscience reports using text mining techniques
A large number of georeferenced quantitative data about rock and geoscience surveys are
buried in geological documents and remain unused. Data analytics and information …
buried in geological documents and remain unused. Data analytics and information …
Geographic named entity recognition by employing natural language processing and an improved bert model
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 …
is involved in a number of activities connected to geographical information retrieval and …
Chinese named entity recognition in the geoscience domain based on BERT
X Lv, Z **e, D Xu, X **, K Ma, L Tao… - Earth and Space …, 2022 - Wiley Online Library
Geological reports are frequently used by geologists involved in geological surveys and
scientific research to record the results and outcomes of geological surveys. With such a rich …
scientific research to record the results and outcomes of geological surveys. With such a rich …
Integrated natural language processing method for text mining and visualization of underground engineering text reports
R Shao, P Lin, Z Xu - Automation in Construction, 2024 - Elsevier
Efficient extraction of information from underground engineering text reports can significantly
enhance project efficiency and quality. Traditional manual analysis is often time-consuming …
enhance project efficiency and quality. Traditional manual analysis is often time-consuming …
What is this article about? Generative summarization with the BERT model in the geosciences domain
In recent years, a large amount of data has been accumulated, such as those recorded in
geological journals and report literature, which contain a wealth of information, but these …
geological journals and report literature, which contain a wealth of information, but these …