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Found 2 papers, 1 papers with code
A Comprehensive Evaluation of Neural SPARQL Query Generation from Natural Language Questions
Our study demonstrates that the copy mechanism yields significant performance enhancements for most PLMs and NPLMs.
A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine Translation
However, current architectures are unable to integrate the knowledge base (KB) schema and handle questions on knowledge resources, classes, and properties unseen during training, rendering them unusable outside the scope of topics covered in the training set.
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