Extracting Knowledge with NLP from Massive Geological Documents

There have been many advances in natural language processing in recent years but most of the work have been focused on texts from a general domain or medicine and so datasets in the geology domain are sadly lacking. We demonstrate how existing taxonomy and geological texts can be used to address this issue and also show how named entity recognition and object detection can be used to retrieve information from a large number of documents.