Augmenting low-resource text classification with graph-grounded pre-training and prompting

• Main Authors: WEN, Zhihao, FANG, Yuan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Text classification; graph neural networks; low-resource learning; pre-training; prompt-tuning; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8143; https://ink.library.smu.edu.sg/context/sis_research/article/9146/viewcontent/SIGIR23_G2P2.pdf
• Institution: Singapore Management University

ext classification is a fundamental problem in information retrieval with many real-world applications, such as predicting the topics of online articles and the categories of e-commerce product descriptions. However, low-resource text classification, with few or no labeled samples, poses a serious c...