Automatic knowledge acquisition from superconductivity information in literature
In this study, we developed a natural language processing model for extracting information solely from the abstracts of literature on superconducting materials, with the aim of making predictions for materials science. Using a dataset of tagged documents (annotations) on superconductivity, the DyGIE...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-12-01
|
| Series: | Science and Technology of Advanced Materials: Methods |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/27660400.2023.2206532 |