Named-entity recognition for a low-resource language using pre-trained language model

Hailemariam Mehari Yohannes, Toshiyuki Amagasa. Named-entity recognition for a low-resource language using pre-trained language model. In Jiman Hong, Miroslav Bures, Juw Won Park, Tomás Cerný, editors, SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25 - 29, 2022. pages 837-844, ACM, 2022. [doi]

@inproceedings{YohannesA22,
  title = {Named-entity recognition for a low-resource language using pre-trained language model},
  author = {Hailemariam Mehari Yohannes and Toshiyuki Amagasa},
  year = {2022},
  doi = {10.1145/3477314.3507066},
  url = {https://doi.org/10.1145/3477314.3507066},
  researchr = {https://researchr.org/publication/YohannesA22},
  cites = {0},
  citedby = {0},
  pages = {837-844},
  booktitle = {SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25 - 29, 2022},
  editor = {Jiman Hong and Miroslav Bures and Juw Won Park and Tomás Cerný},
  publisher = {ACM},
  isbn = {978-1-4503-8713-2},
}