3 accepted papers
Multimodal relation extraction (MRE) is an emerging research field that combines techniques from natural language processing, computer vision, and machine learning, helping us better understand and interpret data. However, current methods are faced with two main issues. The first issue is that the a…
In the domain of Multimodal Relation Extraction (MRE), we present the $\color{Red}{\text{W}}$atcher-$\color{Red}{\text{M}}$ediated $\color{Red}{\text{A}}$ttention $\color{Red}{\text{J}}$oint $\color{Red}{\text{L}}$earning Model ($\color{Red}{\text{WMAJL}}$), a novel approach addressing the challenge…
Deep learning has seen a movement towards the concepts of modularity, module coordination and sparse interactions to fit the working principles of biological systems. Inspired by Global Workspace Theory and long-term memory system in human brain, both are instrumental in constructing biologically pl…