Can We Have Both Fish and Bear's Paw?: Improving Performance, Reliability, and both of them for Relation Extraction under Label Shift.

@inproceedings{hong-2022-fish, author = {Yu Hong and Zhixu Li and Jianfeng Qu and Jiaqing Liang and Yi Luo and Miyu Zhang and Yanghua Xiao and Wei Wang}, editor = {Mohammad Al Hasan and Li Xiong}, title = {{Can We Have Both Fish and Bear's Paw?: Improving Performance, Reliability, and both of them for Relation Extraction under Label Shift}}, booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}}, pages = {758--767}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3511808.3557251}, doi = {https://doi.org/10.1145/3511808.3557251} }