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Inicio  /  Applied Sciences  /  Vol: 12 Par: 8 (2022)  /  Artículo
ARTÍCULO
TITULO

Improving Semantic Dependency Parsing with Higher-Order Information Encoded by Graph Neural Networks

Bin Li    
Yunlong Fan    
Yikemaiti Sataer    
Zhiqiang Gao and Yaocheng Gui    

Resumen

Semantic dependency parsing could be applied in many downstream tasks of natural language processing, including named entity recognition, information extraction, machine translation, sentiment analysis, question generation, question answering, etc.

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