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...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Papa Abdou Karim Karou Diallo, Samuel Reyd, Amal Zouaq
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	IEEE 2024-01-01
Цуврал:	IEEE Access
Нөхцлүүд:	SPARQL query generation knowledge base copy mechanism non pre-trained and pre-trained encoders-decoders
Онлайн хандалт:	https://ieeexplore.ieee.org/document/10662970/
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