91 citations · 104 across the 17 of their papers we have counts for
Showing 2016Show all
2 papers · 1 filter
cs.CL2016★ 2 cited
Represent, Aggregate, and Constrain: A Novel Architecture for Machine Reading from Noisy Sources
Jason Naradowsky, Sebastian Riedel
In order to extract event information from text, a machine reading model must learn to accurately read and interpret the ways in which that information is expressed. But it must al…
cs.NE2016★ 91 cited
Programming with a Differentiable Forth Interpreter
Matko Bošnjak, Tim Rocktäschel, Jason Naradowsky +1
Given that in practice training data is scarce for all but a small set of problems, a core question is how to incorporate prior knowledge into a model. In this paper, we consider t…