CLINER: exploring task-relevant features and label semantic for few-shot named entity recognition.

MLA

Li, Xuewei, et al. “CLINER: Exploring Task-Relevant Features and Label Semantic for Few-Shot Named Entity Recognition.” Neural Computing & Applications, vol. 36, no. 9, Mar. 2024, pp. 4679–91. EBSCOhost, https://doi.org/10.1007/s00521-023-09285-3.

APA

Li, X., Li, X., Zhao, M., Yang, M., Yu, R., Yu, M., & Yu, J. (2024). CLINER: exploring task-relevant features and label semantic for few-shot named entity recognition. Neural Computing & Applications, 36(9), 4679–4691. https://doi.org/10.1007/s00521-023-09285-3

Chicago

Li, Xuewei, Xinliang Li, Mankun Zhao, Ming Yang, Ruiguo Yu, Mei Yu, and Jian Yu. 2024. “CLINER: Exploring Task-Relevant Features and Label Semantic for Few-Shot Named Entity Recognition.” Neural Computing & Applications 36 (9): 4679–91. doi:10.1007/s00521-023-09285-3.