3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.HC2019★ 3 cited
Referring to the recently seen: reference and perceptual memory in situated dialog
John D. Kelleher, Simon Dobnik
From theoretical linguistic and cognitive perspectives, situated dialog systems are interesting as they provide ideal test-beds for investigating the interaction between language a…
cs.LG2018
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
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…