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Hui Wu1, Yuting He2, Yidong Chen3
1Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, 361005, China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, 361005, China; Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan (Xiamen University), Ministry of Culture and Tourism, Xiamen, 361005, China.
语义导向学习 (SemGL) 通过增强实例和原型表示来改进几次拍摄的关系提取. 这种方法有效地利用关系信息,提高挑战性域调整任务的性能.
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