Material named entity recognition (MNER) for knowledge-driven materials using deep learning approach
The scientific literature contains an abundance of cutting-edge knowledge in the field of materials science, as well as useful data (e.g., numerical values from experimental results, properties, and structure of materials). To speed up the identification of new materials, these data are essential fo...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Springer Science and Business Media Deutschland GmbH
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/39073/ http://umpir.ump.edu.my/id/eprint/39073/1/Material%20Named%20Entity%20Recognition%20%28MNER%29%20for%20Knowledge-Driven%20Materials.pdf http://umpir.ump.edu.my/id/eprint/39073/2/Material%20named%20entity%20recognition%20%28MNER%29%20for%20knowledge-driven%20materials_ABS.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/39073/http://umpir.ump.edu.my/id/eprint/39073/1/Material%20Named%20Entity%20Recognition%20%28MNER%29%20for%20Knowledge-Driven%20Materials.pdf
http://umpir.ump.edu.my/id/eprint/39073/2/Material%20named%20entity%20recognition%20%28MNER%29%20for%20knowledge-driven%20materials_ABS.pdf