Papers › Automatic Extraction of Structured Mineral Drillhole Results from Unstructured Mining...
Automatic Extraction of Structured Mineral Drillhole Results from Unstructured Mining Company Reports
Adam Dimeski, Afshin Rahimi
Aggregate mining exploration results can help companies and governments to optimise and police mining permits and operations, a necessity for transition to a renewable energy future, however, these results are buried in unstructured text. We present a novel dataset from 23 Australian mining company reports, framing the extraction of structured drillhole information as a sequence labelling task. Our two benchmark models based on Bi-LSTM-CRF and BERT, show their effectiveness in this task with a F1 score of 77% and 87%, respectively. Our dataset and benchmarks are accessible online.
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