A link-bridged topic model for cross-domain document classification

• Main Authors: YANG, Pei, GAO, Wei, TAN, Qi, WONG, Kam-Fai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Cross-domain; Document classification; Transfer learning; Auxiliary link network; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/4550; https://ink.library.smu.edu.sg/context/sis_research/article/5553/viewcontent/1_s2.0_S0306457313000514_main.pdf
• Institution: Singapore Management University

Transfer learning utilizes labeled data available from some related domain (source domain) for achieving effective knowledge transformation to the target domain. However, most state-of-the-art cross-domain classification methods treat documents as plain text and ignore the hyperlink (or citation) re...