16 citations · 20 across the 7 of their papers we have counts for
5 papers · 1 filter
Language-Driven Region Pointer Advancement for Controllable Image Captioning
Annika Lindh, Robert J. Ross, John D. Kelleher
Controllable Image Captioning is a recent sub-field in the multi-modal task of Image Captioning wherein constraints are placed on which regions in an image should be described in t…
Semantic Relatedness and Taxonomic Word Embeddings
Magdalena Kacmajor, John D. Kelleher, Filip Klubicka +1
This paper connects a series of papers dealing with taxonomic word embeddings. It begins by noting that there are different types of semantic relatedness and that different lexical…
Exploring the Use of Attention within an Neural Machine Translation Decoder States to Translate Idioms
Giancarlo D. Salton, Robert J. Ross, John D. Kelleher
Idioms pose problems to almost all Machine Translation systems. This type of language is very frequent in day-to-day language use and cannot be simply ignored. The recent interest…
Is it worth it? Budget-related evaluation metrics for model selection
Filip Klubička, Giancarlo D. Salton, John D. Kelleher
Creating a linguistic resource is often done by using a machine learning model that filters the content that goes through to a human annotator, before going into the final resource…
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…