@inproceedings{han:hal-03768765,
  TITLE = {{MTLAT: A Multi-Task Learning Framework Based on Adversarial Training for Chinese Cybersecurity NER}},
  AUTHOR = {Han, Yaopeng and Lu, Zhigang and Jiang, Bo and Liu, Yuling and Zhang, Chen and Jiang, Zhengwei and Li, Ning},
  URL = {https://inria.hal.science/hal-03768765},
  NOTE = {Part 2: AI},
  BOOKTITLE = {{17th IFIP International Conference on Network and Parallel Computing (NPC)}},
  ADDRESS = {Zhengzhou, China},
  EDITOR = {Xin He and En Shao and Guangming Tan},
  PUBLISHER = {{Springer International Publishing}},
  SERIES = {Network and Parallel Computing},
  VOLUME = {LNCS-12639},
  PAGES = {43-54},
  YEAR = {2020},
  MONTH = Sep,
  DOI = {10.1007/978-3-030-79478-1\_4},
  KEYWORDS = {Cybersecurity ; Named entity recognition ; Adversarial training ; Multi-task learning},
  PDF = {https://inria.hal.science/hal-03768765/file/511910_1_En_4_Chapter.pdf},
  HAL_ID = {hal-03768765},
  HAL_VERSION = {v1},
}