计算机技术与发展2026，Vol.36Issue(5)：72-80,9.DOI:10.20165/j.cnki.ISSN1673-629X.2025.0311
融合多策略论元识别的框架语义角色标注模型
A Frame Semantic Role Labeling Model Integrating Multi-strategy Argument Identification
摘要
Abstract
Frame Semantic Role Labeling(FSRL)is a key task in the field of natural language processing.Its core objective is to identify the arguments governed by a target word within the evoked frame,and assign accurate semantic role labels to these arguments,thereby providing semantic support for downstream tasks.Currently,the performance bottleneck of FSRL mainly lies in the argument identification stage,specifically manifested in two issues:argument boundary errors and argument false positives.To address these challenges,we propose a multi-argument identification strategy that integrates label prediction,boundary awareness,and argument enu-meration.Concretely,the label prediction module jointly models argument identification and role labeling through end-to-end sequence labeling,enabling globally optimal label prediction.The boundary awareness module is optimized collaboratively with label prediction via multi-task learning,which enhances the model's ability to locate argument boundaries.The argument enumeration module generates a candidate argument set to filter out false-positive arguments.The integration of these three strategies achieves complementarity across three dimensions:global semantic association,local boundary localization,and constrained filtering output.Experimental results on two standard datasets(FN1.5 and FN1.7)demonstrate that the proposed model outperforms the state-of-the-art baseline model(AGED)by1.35 percentage points and 0.24 percentage points in terms of F1-score,respectively.Notably,the model also achieves a significant improvement in precision.In addition,the proposed method does not rely on external semantic resources,providing an effective solution for resource-constrained scenarios.关键词
框架语义分析/论元识别/角色标注/标签预测/边界感知/论元枚举Key words
frame semantic parsing/argument identification/role labeling/tagging prediction/boundary awareness/argument enumeration分类
信息技术与安全科学引用本文复制引用
曹学飞,李圆圆,吕哲飞,薛彦..融合多策略论元识别的框架语义角色标注模型[J].计算机技术与发展,2026,36(5):72-80,9.基金项目
国家自然科学基金资助项目(62076156) （62076156）
