Toward Subgraph-Guided Knowledge Graph Question Generation With Graph Neural Networks

Knowledge graph (KG) question generation (QG) aims to generate natural language questions from KGs and target answers. Previous works mostly focus on a simple setting that is to generate questions from a single KG triple. In this work, we focus on a more realistic setting where we aim to generate qu...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2024-09, Vol.35 (9), p.12706-12717
Hauptverfasser:	Chen, Yu, Wu, Lingfei, Zaki, Mohammed J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Benchmark testing Data models Decoding Deep learning Graph neural networks graph neural networks (GNNs) Knowledge graphs knowledge graphs (KGs) natural language (NL) processing question generation (QG) Task analysis Transformers
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!