SSAM: a span spatial attention model for recognizing named entities

• Published in: Scientific reports Vol. 15; no. 1; pp. 10313 - 13
• Main Authors: Wang, Kai, Wen, Kunjian, Chen, Yanping, Qin, Yongbin
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 25.03.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166; 639/705; Humanities and Social Sciences; Labeling; multidisciplinary; Named entity recognition; Natural language processing; Science; Science (multidisciplinary); Semantics; Spatial attention; Spatial attention; Natural language processing; Named entity recognition

Mapping a sentence into a two-dimensional (2D) representation can flatten nested semantic structures and build multi-granular span dependencies in named entity recognition. Existing approaches to recognizing named entities often classify each entity span independently, which ignores the spatial stru...