UniER: A Unified and Efficient Entity-Relation Extraction Method with Single-Table Modeling

Sha Liu, Dongsheng Wang, Yue Feng, Miaomiao Zhou, Xuewen Zhu. UniER: A Unified and Efficient Entity-Relation Extraction Method with Single-Table Modeling. In Fei Liu, Nan Duan, Qingting Xu, Yu Hong, editors, Natural Language Processing and Chinese Computing - 12th National CCF Conference, NLPCC 2023, Foshan, China, October 12-15, 2023, Proceedings, Part II. Volume 14303 of Lecture Notes in Computer Science, pages 248-259, Springer, 2023. [doi]

@inproceedings{LiuWFZZ23,
  title = {UniER: A Unified and Efficient Entity-Relation Extraction Method with Single-Table Modeling},
  author = {Sha Liu and Dongsheng Wang and Yue Feng and Miaomiao Zhou and Xuewen Zhu},
  year = {2023},
  doi = {10.1007/978-3-031-44696-2_20},
  url = {https://doi.org/10.1007/978-3-031-44696-2_20},
  researchr = {https://researchr.org/publication/LiuWFZZ23},
  cites = {0},
  citedby = {0},
  pages = {248-259},
  booktitle = {Natural Language Processing and Chinese Computing - 12th National CCF Conference, NLPCC 2023, Foshan, China, October 12-15, 2023, Proceedings, Part II},
  editor = {Fei Liu and Nan Duan and Qingting Xu and Yu Hong},
  volume = {14303},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-44696-2},
}