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20182023
most citedWhat is not where: the challenge of integrating spatial representations into deep learning architectures

7 citations · 14 across the 6 of their papers we have counts for

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cs.LG2018★ 7 cited

What is not where: the challenge of integrating spatial representations into deep learning architectures

John D. Kelleher, Simon Dobnik

This paper examines to what degree current deep learning architectures for image caption generation capture spatial language. On the basis of the evaluation of examples of generate…

cs.CL2018★ 2 cited

Modular Mechanistic Networks: On Bridging Mechanistic and Phenomenological Models with Deep Neural Networks in Natural Language Processing

Simon Dobnik, John D. Kelleher

Natural language processing (NLP) can be done using either top-down (theory driven) and bottom-up (data driven) approaches, which we call mechanistic and phenomenological respectiv…