Nested named entity recognition model based on semantic-guided boundary modeling

Liu Minghao
Li Han
Liaoning University of Technology, College of Electronic and Information Engineering, Jinzhou Liaoning 121000, China

Abstract

To address the insufficient modeling of internal structural information and relative boundary positions in nested named entity recognition, this paper proposed a structure-aware span modeling model based on a triaffine mechanism(SSMT) . The token pair interaction module decoupled semantic and positional features between tokens and modeled their interactions, producing structure-aware attention scores that encode relative positional information. The sequence attention module focused on key regions within entities and enhanced internal structural representations. The fused structure-aware information then entered a dilated convolution module, which captured multi-scale contextual features. A triaffine attention constructed latent span representations, and the model concatenated them with the convolutional features for entity classification. Experiments on the ACE2004 and ACE2005 datasets achieved F1 scores of 88.64% and 87.30%, respectively. These results indicate that the proposed method is effective for nested named entity recognition.

Foundation Support

2024年辽宁省教育厅高等学校基本科研项目(LJ212410154009)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.09.0390
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 5

Publish History

[2026-01-19] Accepted Paper

Cite This Article

刘名浩, 李晗. 基于语义引导边界建模的嵌套命名实体识别模型 [J]. 计算机应用研究, 2026, 43 (5). (2026-01-20). https://doi.org/10.19734/j.issn.1001-3695.2025.09.0390. (Liu Minghao, Li Han. Nested named entity recognition model based on semantic-guided boundary modeling [J]. Application Research of Computers, 2026, 43 (5). (2026-01-20). https://doi.org/10.19734/j.issn.1001-3695.2025.09.0390. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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