This paper introduces a graph convolution-based model to combine textual and visual information presented in Visually Rich documents (VRDs). Graph embeddings are trained to summarize the context of a text segment in the document, and further combined with text embeddings for entity extraction. In th...
It then categorizes offline document images into different classes according to the nature of the challenges one faces, in an attempt to provide insight into various techniques presented in the literature. The pros and cons of various techniques are explained wherever possible. Along with the ...
The form and functionality of the small MTF systems shall be the same as the initial large implementations, though on a smaller scale. This acquisition includes complete "turn-key" installation at each individual location. -So 1.1.3. Time-Phased Installations. Intra-MTF systems will be put ...