Semantic Scholar
Open Access
2021
92 sitasi
BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRA
Sultan Alrowili
Vijay K. Shanker
Abstrak
The impact of design choices on the performance of biomedical language models recently has been a subject for investigation. In this paper, we empirically study biomedical domain adaptation with large transformer models using different design choices. We evaluate the performance of our pretrained models against other existing biomedical language models in the literature. Our results show that we achieve state-of-the-art results on several biomedical domain tasks despite using similar or less computational cost compared to other models in the literature. Our findings highlight the significant effect of design choices on improving the performance of biomedical language models.
Topik & Kata Kunci
Penulis (2)
S
Sultan Alrowili
V
Vijay K. Shanker
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2021
- Bahasa
- en
- Total Sitasi
- 92×
- Sumber Database
- Semantic Scholar
- DOI
- 10.18653/v1/2021.bionlp-1.24
- Akses
- Open Access ✓