SpaceBERT
This is one of the 3 further pre-trained models from the SpaceTransformers family presented in SpaceTransformers: Language Modeling for Space Systems. The original Git repo is strath-ace/smart-nlp.
The further pre-training corpus includes publications abstracts, books, and Wikipedia pages related to space systems. Corpus size is 14.3 GB. SpaceBERT was further pre-trained on this domain-specific corpus from BERT-Base (uncased). In our paper, it is then fine-tuned for a Concept Recognition task.
BibTeX entry and citation info
@ARTICLE{
9548078,
author={Berquand, Audrey and Darm, Paul and Riccardi, Annalisa},
journal={IEEE Access},
title={SpaceTransformers: Language Modeling for Space Systems},
year={2021},
volume={9},
number={},
pages={133111-133122},
doi={10.1109/ACCESS.2021.3115659}
}