@InProceedings{lee-EtAl:2020:LREC2,
  author    = {Lee, Chin  and  Dai, Hongliang  and  Song, Yangqiu  and  Li, Xin},
  title     = {A Chinese Corpus for Fine-grained Entity Typing},
  booktitle      = {Proceedings of The 12th Language Resources and Evaluation Conference},
  month          = {May},
  year           = {2020},
  address        = {Marseille, France},
  publisher      = {European Language Resources Association},
  pages     = {4451--4457},
  abstract  = {Fine-grained entity typing is a challenging task with wide applications. However, most existing datasets for this task are in English. In this paper, we introduce a corpus for Chinese fine-grained entity typing that contains 4,800 mentions manually labeled through crowdsourcing. Each mention is annotated with free-form entity types. To make our dataset useful in more possible scenarios, we also categorize all the fine-grained types into 10 general types. Finally, we conduct experiments with some neural models whose structures are typical in fine-grained entity typing and show how well they perform on our dataset. We also show the possibility of improving Chinese fine-grained entity typing through cross-lingual transfer learning.},
  url       = {https://www.aclweb.org/anthology/2020.lrec-1.548}
}