id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-32489	Song, Pengfei; Lu, Haoyue	Document-level Relation Extraction based on Graph Convolutional Neural Networks	2025	5	.pdf	application/pdf	4403	278	47	Conclusion This paper proposes a document-level relation extraction method based on graph convolutional neural networks, which learns the context information of entities through word embeddings, aggregates entity feature information using graph convolutional neural networks, and extracts long- distance dependency features using deep graph convolutional networks. China Abstract: The objective of extracting relations between document components lies in identifying the Within a single document, the focus often lies on understanding the connections between different entities.	cache/fcis-32489.pdf	txt/fcis-32489.txt