Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents
The main contribution of this work is to tackle the problem of table extraction, exploiting Graph Neural Networks. Node features are enriched with suitably designed representation embeddings. These representations help to better distinguish not only tables from the other parts of the paper, but also table cells from table headers.
GNNNLPRepresentation-embeddingstructured-documents