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Technical Abstract

Extracting Knowledge with NLP from Massive Geological Documents

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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.

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Publications

EAGE - European Association of Geoscientists and Engineers

Authors

Chin Hang Lun, Thomas Hewitt, Song Hou

Month

May

Copyright

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