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Found 3 papers, 1 papers with code
Open Information Extraction: A Review of Baseline Techniques, Approaches, and Applications
With the abundant amount of available online and offline text data, there arises a crucial need to extract the relation between phrases and summarize the main content of each document in a few words.
Learning 3D Mineral Prospectivity from 3D Geological Models Using Convolutional Neural Networks: Application to a Structure-controlled Hydrothermal Gold Deposit
The three-dimensional (3D) geological models are the typical and key data source in the 3D mineral prospecitivity modeling.
Tablext: A Combined Neural Network And Heuristic Based Table Extractor
Today's popular state-of-the-art methods for table extraction struggle to adequately extract tables with machine-readable text and structural data.
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