Unsupervised Event Graph Representation and Similarity Learning on Biomedical Literature

The automatic extraction of biomedical events from the scientific literature has drawn keen interest in the last several years, recognizing complex and semantically rich graphical interactions otherwise buried in texts. However, very few works revolve around learning embeddings or similarity metrics...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Giacomo Frisoni, Gianluca Moro, Giulio Carlassare, Antonella Carbonaro
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2021-12-01
Σειρά:	Sensors
Θέματα:	event embedding graph representation learning graph similarity learning metric learning graph kernels graph neural networks
Διαθέσιμο Online:	https://www.mdpi.com/1424-8220/22/1/3
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