PICK Annotated Paper

PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks

This paper talks KIE(Key Information Extraction), which is to extract texts of a number of key fields from given documents, and save the texts to structured documents. It proposes a solution which overcomes the existing problems fully and efficiently exploiting both textual and visual features of documents to get a richer semantic representation that is crucial for extraction.

Please feel free to read along the paper with my notes and highlights.

Color	Meaning
Green	Topics about the current paper
Yellow/Orange	Topics about other relevant references
Blue/Red	Implementation details/ maths
Red	Text including my thoughts, questions, and understandings

CITATION

@misc{yu2020pick,
      title={PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks}, 
      author={Wenwen Yu and Ning Lu and Xianbiao Qi and Ping Gong and Rong Xiao},
      year={2020},
      eprint={2004.07464},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}