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...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Papa Abdou Karim Karou Diallo, Samuel Reyd, Amal Zouaq
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2024-01-01
Serie:	IEEE Access
Soggetti:	SPARQL query generation knowledge base copy mechanism non pre-trained and pre-trained encoders-decoders
Accesso online:	https://ieeexplore.ieee.org/document/10662970/
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!