Search Results for author:
Found 4 papers, 0 papers with code
Unified Line and Paragraph Detection by Graph Convolutional Networks
We formulate the task of detecting lines and paragraphs in a document into a unified two-level clustering problem.
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction
Sequence modeling has demonstrated state-of-the-art performance on natural language and document understanding tasks.
ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction
Natural reading orders of words are crucial for information extraction from form-like documents.
Post-OCR Paragraph Recognition by Graph Convolutional Networks
We propose a new approach for paragraph recognition in document images by spatial graph convolutional networks (GCN) applied on OCR text boxes.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
