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Found 2 papers, 1 papers with code
End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphs
Our model only needs the question text and the answer entities to train, and delivers a stand-alone QA model that does not require an additional ER component to be supplied during runtime.
Expanding End-to-End Question Answering on Differentiable Knowledge Graphs with Intersection
End-to-end question answering using a differentiable knowledge graph is a promising technique that requires only weak supervision, produces interpretable results, and is fully differentiable.
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