气候变化领域集成服务门户(CCPortal): Unveiling the Railway Traffic Knowledge in Tibet: An Advanced Model for Relational Triple Extraction

CCPortal

DOI	10.3390/su152014942
	Unveiling the Railway Traffic Knowledge in Tibet: An Advanced Model for Relational Triple Extraction
	Luo, Weiqun; Wang, Jiabao; Yan, Xiangwei; Jiang, Guiyuan
发表日期	2023
EISSN	2071-1050
卷号	15 期号:20
英文摘要	To address the deficiency of existing relation extraction models in effectively extracting relational triples pertaining to railway traffic knowledge in Tibet, this paper constructs a Tibet Railway Traffic text dataset and provides an enhanced relation extraction model. The proposed model incorporates subject feature enhancement and relational attention mechanisms. It leverages a pre-trained model as the embedding layer to obtain vector representations of text. Subsequently, the subject is extracted and its semantic information is augmented using an LSTM neural network. Furthermore, during object extraction, the multi-head attention mechanism enables the model to prioritize relations associated with the aforementioned features. Finally, objects are extracted based on the subjects and relations. The proposed method has been comprehensively evaluated on multiple datasets, including the Tibet Railway Traffic text dataset and two public datasets. The results on the Tibet dataset achieve an F1-score of 93.3%, surpassing the baseline model CasRel by 0.8%, indicating a superior applicability of the proposed model. On the other hand, the model achieves F1-scores of 91.1% and 92.6% on two public datasets, NYT and WebNLG, respectively, outperforming the baseline CasRel by 1.5% and 0.8%, which highlights the good generalization ability of the proposed model.
关键词	relation extraction subject feature attention mechanism railway traffic in Tibet
WOS研究方向	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS记录号	WOS:001089708200001
来源期刊	SUSTAINABILITY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/282592
作者单位	Xizang Minzu University; Ocean University of China; Nanyang Technological University
推荐引用方式 GB/T 7714	Luo, Weiqun,Wang, Jiabao,Yan, Xiangwei,et al. Unveiling the Railway Traffic Knowledge in Tibet: An Advanced Model for Relational Triple Extraction[J],2023,15(20).
APA	Luo, Weiqun,Wang, Jiabao,Yan, Xiangwei,&Jiang, Guiyuan.(2023).Unveiling the Railway Traffic Knowledge in Tibet: An Advanced Model for Relational Triple Extraction.SUSTAINABILITY,15(20).
MLA	Luo, Weiqun,et al."Unveiling the Railway Traffic Knowledge in Tibet: An Advanced Model for Relational Triple Extraction".SUSTAINABILITY 15.20(2023).