A curated list of resources for Document Understanding (DU) topic
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Updated
Mar 5, 2023
A curated list of resources for Document Understanding (DU) topic
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)
A Repo For Document AI
Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 2022)
A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Alibaba DAMO Academy.
Sample applications and demos for Document AI, the end-to-end document processing platform on Google Cloud
ReadingBank: A Benchmark Dataset for Reading Order Detection
Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.
TAT-DQA: Towards Complex Document Understanding By Discrete Reasoning
This small module connects Label Studio with Fonduer by creating a fonduer labeling function for gold labels from a label studio export. Documentation: https://irgroup.github.io/labelstudio-to-fonduer/
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