A Comprehensive Evaluation of Neural SPARQL Query Generation From Natural Language Questions

In recent years, the field of neural machine translation (NMT) for SPARQL query generation has witnessed significant growth. Incorporating the copy mechanism with traditional encoder-decoder architectures and using pre-trained encoder-decoder and large language models have set new performance benchm...

Descrición completa

Detalles Bibliográficos

Principais autores:	Papa Abdou Karim Karou Diallo, Samuel Reyd, Amal Zouaq
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2024-01-01
Series:	IEEE Access
Assuntos:	SPARQL query generation knowledge base copy mechanism non pre-trained and pre-trained encoders-decoders
Acceso en liña:	https://ieeexplore.ieee.org/document/10662970/
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!