Context-aware adapter tuning for few-shot relation learning in knowledge graphs

• Main Authors: LIU, Ran, LIU, Zhongzhou, LI, Xiaoli, FANG, Yuan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Knowledge graphs; Few-shot relation learning; Meta-learning; Meta-training; Context-aware adapter; Artificial Intelligence and Robotics; Computer Sciences
• Online Access: https://ink.library.smu.edu.sg/sis_research/9687; https://ink.library.smu.edu.sg/context/sis_research/article/10687/viewcontent/EMNLP24_RelAdapter.pdf
• Institution: Singapore Management University

Knowledge graphs (KGs) are instrumental in various real-world applications, yet they often suffer from incompleteness due to missing relations. To predict instances for novel relations with limited training examples, few-shot relation learning approaches have emerged, utilizing techniques such as me...