You can deploy this model and start earning money today!

Nara-Lab/
History_NER

Name: History_NER
Rating: 2.5 (18 reviews)

Views

No views yet

History NER

Citation If you apply this library or model to any project and research, please cite our code:

python

@misc{Nara-Lab: History_NER_2023,
  title         = {Nara-Lab : History NER (Classical Chinese) Token Classification},
  author        = {Sojung Lucia Kim (Lucia), Tea Hong Jang (Ted), Joon Mo Ahn (Joon), Hyng Il Lee (Henry)},
  year          = {2023},
  howpublished  = {\url{https://huggingface.co/Nara-Lab/History_NER}},
  url = {https://arxiv.org/abs/2306.14592},
}

Contact

This is released as pre-trained NLP model in the hope that it will be helpful to many history research institutes and other entities. We look forward to contacting us from various places who wish to cooperate with us.

sojung.kim@gmail.com