Paper Info
Title
Towards Grounding Conceptual Spaces in Neural Representations.
Abstract
The highly influential framework of conceptual spaces provides a geometric way of representing knowledge. It aims at bridging the gap between symbolic and subsymbolic processing. Instances are represented by points in a high-dimensional space and concepts are represented by convex regions in this space. In this paper, we present our approach towards grounding the dimensions of a conceptual space in latent spaces learned by an InfoGAN from unlabeled data.
Year
Venue
DocType
2017
NeSy
Conference
Volume
Citations 
PageRank 
abs/1706.04825
2
0.37
References 
Authors
7
2
Name
Order
Citations
PageRank
Lucas Bechberger132.76
Kai-uwe Kühnberger221128.67