@article{3102,
  author = {Yihong Ma, Qingkai Zeng, Tianwen Jiang, Liang Cai, Meng Jiang},
  title = {Research on Person Entity Extraction from Ancient Sources},
  journal = {Journal of Electronic Systems},
  year = {2020},
  volume = {10},
  number = {3},
  doi = {https://doi.org/10.6025/jes/2020/10/3/102-113},
  url = {http://www.dline.info/jes/fulltext/v10n3/jesv10n3_3.pdf},
  abstract = {We in this work have worked for data retrieval from Chinese historiography. The main issue is the low
resource of the language: deep learning requires large amounts of annotated data and becomes impracticable when such data is not available. We used the subject experts to curate a set of person entities and their profile attributes and relations from two documents. We introduce a pattern-based bootstrapping approach to extract the information with a very small number (i.e., 1 or 2) of seed patterns. The testing results show the effectiveness as well as the limitations of the iterative method.},
}