Information Extraction from Visually Rich Documents with Font Style Embeddings. (arXiv:2111.04045v2 [cs.CL] UPDATED)

Information extraction (IE) from documents is an intensive area of research
with a large set of industrial applications. Current state-of-the-art methods
focus on scanned documents with approaches combining computer vision, natural
language processing and layout representation. We propose to challenge the
usage of computer vision in the case where both token style and visual
representation are available (i.e native PDF documents). Our experiments on
three real-world complex datasets demonstrate that using token style attributes
based embedding instead of a raw …

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