Computational Intelligence with Deep Understanding
Jani Bizjak, Matjaz Gams
Progress in Computing Applications, Vol. 8, No. 1, 2019.
DOI: 
Link: http://www.dline.info/pca/fulltext/v8n1/pcav8n1_3.pdf
Abstract:
Humans have concerned with semantics behind words, objects and facts for thousands of years. Yet, when a computer uses a model and learns to recognize it from a video, does it really understand what it is or does it only map a number
of specially colored pixels and shapes to a term â€œobjectâ€? In addition, humans use semantics to improve performance;
therefore, it seems reasonable to assume that computers would as well. This paper overviews latest state of the art papers that
learn and use semantics in order to improve the results of established methods in different areas. Two branches of AI: natural
language processing and computer vision seem to be especially active in this area.