Satellite and instrument entity recognition using a pre-trained language model with distant supervision
Earth observations, especially satellite data, have produced a wealth of methods and results in meeting global challenges, often presented in unstructured texts such as papers or reports. Accurate extraction of satellite and instrument entities from these unstructured texts can help to link and reus...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , |
|---|---|
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Taylor & Francis Group
2022-12-01
|
| Σειρά: | International Journal of Digital Earth |
| Θέματα: | |
| Διαθέσιμο Online: | http://dx.doi.org/10.1080/17538947.2022.2107098 |
| Ετικέτες: |
Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!
|
