GNER: A Generative Model for Geological Named Entity Recognition Without Labeled Data Using Deep Learning

GNER: A Generative Model for Geological Named Entity Recognition Without Labeled Data Using Deep Learning

Abstract A variety of detailed data about geological topics and geoscience knowledge are buried in the geoscience literature and rarely used. Named entity recognition (NER) provides both opportunities and challenges to leverage this wealth of data in the geoscience literature for data analysis and f...

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Bibliographic Details
Main Authors: Qinjun Qiu, Zhong Xie, Liang Wu, Liufeng Tao
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2019-06-01
Series:Earth and Space Science
Subjects:
natural language processing
named entity recognition
geoscience domain
unsupervised learning
Online Access:https://doi.org/10.1029/2019EA000610

Internet

https://doi.org/10.1029/2019EA000610

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