Converse attention knowledge transfer for low-resource named entity recognition

• Main Authors: Lyu, Shengfei, Sun, Linghao, Yi, Huixiong, Liu, Yong, Chen, Huanhuan, Miao, Chunyan
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Named entity recognition; Converse attention network
• Online Access: https://hdl.handle.net/10356/181468
• Institution: Nanyang Technological University

In recent years, great success has been achieved in many tasks of natural language processing (NLP), e.g., named entity recognition (NER), especially in the high-resource language, i.e., English, thanks in part to the considerable amount of labeled resources. More labeled resources, better word repr...