A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine Translation. (arXiv:2211.10271v1 [cs.CL])

Neural Machine Translation (NMT) models from English to SPARQL are a
promising development for SPARQL query generation. 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. Inspired by the performance gains in natural language processing
tasks, we propose to integrate a copy mechanism for neural SPARQL query
generation as a way to …

arxiv knowledge machine machine translation neural machine translation translation