Material named entity recognition (MNER) for knowledge-driven materials using deep learning approach

• Main Authors: Miah, Md Saef Ullah, Junaida, Sulaiman
• Format: Conference or Workshop Item
• Language: English; English
• Published: Springer Science and Business Media Deutschland GmbH 2023
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: 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; http://umpir.ump.edu.my/id/eprint/39073/; https://doi.org/10.1007/978-981-19-9483-8_17

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...