CID-GCN: An Effective Graph Convolutional Networks for Chemical-Induced Disease Relation Extraction

CID-GCN: An Effective Graph Convolutional Networks for Chemical-Induced Disease Relation Extraction

Automatic extraction of chemical-induced disease (CID) relation from unstructured text is of essential importance for disease treatment and drug development. In this task, some relational facts can only be inferred from the document rather than single sentence. Recently, researchers investigate grap...

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Bibliographic Details
Main Authors: Daojian Zeng, Chao Zhao, Zhe Quan
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Genetics
Subjects:
relation extraction
graph convolutional network
chemical-induced disease
inter-sentential relation
document level
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2021.624307/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2021.624307/full

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