Geological Ner
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Geological Ner
Developed by vabatista
This is a named entity recognition model optimized for Brazilian Portuguese, specifically designed for entity recognition in the geological domain.
Downloads 31
Release Time : 1/29/2024
Model Overview
The model is based on the neuralmind/bert-base-portuguese-cased foundation model and has been specifically optimized for geological concepts, capable of identifying specific entities in geological texts.
Model Features
Geological Domain Optimization
Specially optimized for geological concepts and terminology
Portuguese Language Support
Trained on Brazilian Portuguese variants, suitable for Portuguese geological text analysis
Efficient Recognition
Accurately identifies various professional entities in geological texts
Model Capabilities
Geological text entity recognition
Oil and gas terminology recognition
Rock type classification
Geological period identification
Use Cases
Geological Research
Rock Type Analysis
Identify rock types mentioned in the text, such as igneous, sedimentary, and metamorphic rocks
Accurately classify different rock types and their related geological periods
Petroleum Generation Analysis
Identify key elements involved in petroleum generation, such as sedimentary basins and organic matter
Extract key geological conditions and processes of petroleum generation
Academic Literature Processing
Geological Literature Information Extraction
Automatically extract key geological entities from Portuguese geological literature
Improve efficiency in processing geological literature
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