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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| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
American Geophysical Union (AGU)
2019
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/8b19d8b977604258a40f352ff20ac254 |
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