Low-resource name tagging learned with weakly labeled data

• Main Authors: CAO, Yixin, HU, Zikun, CHUA, Tat-Seng, LIU, Zhiyuan, JI, Heng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/7457; https://ink.library.smu.edu.sg/context/sis_research/article/8460/viewcontent/D19_1025.pdf
• Institution: Singapore Management University

Name tagging in low-resource languages or domains suffers from inadequate training data. Existing work heavily relies on additional information, while leaving those noisy annotations unexplored that extensively exist on the web. In this paper, we propose a novel neural model for name tagging solely...