Research on Chinese Semantic Relation Extraction in Marine Engine Rooms Based on Multi-feature Fusion

This research addresses the challenges of weak dependency relation learning caused by excessive contextual distances between segmented words in extracting entity relations within marine engine room knowledge graphs. Specifically, we have developed an advanced model that integrates an enhanced Chines...

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Veröffentlicht in:	IEEE access 2024-01, Vol.12, p.1-1
Hauptverfasser:	Liu, Xicai, Wang, Zhengquan, Wang, Fubo
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks BERT model Bidirectional control Data mining Encoding Engine rooms Engines Feature extraction graph convolutional neural network Graph neural networks Graphical representations Knowledge graphs Knowledge representation Marine engine room Marine engines Marine vehicles multi-feature fusion relation extraction Semantics Syntactics Words (language)
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