Information Extraction from Invoices: A Graph Neural Network Approach for Datasets with High Layout Variety.
Felix KriegerPaul DrewsBurkhardt FunkTill WobbePublished in: Wirtschaftsinformatik (2021)
Keyphrases
- neural network
- information extraction
- wide range
- structured data
- graph data
- graph structure
- neural network model
- back propagation
- wide variety
- natural language processing
- text mining
- graph mining
- graph representation
- semi structured
- graph theory
- free text
- synthetic datasets
- graph matching
- precision and recall
- directed graph
- web mining
- database
- self organizing maps
- real world
- machine learning
- feature selection
- artificial neural networks
- ontology based information extraction
- graph layout
- information retrieval
- graph databases
- random walk
- named entity recognition
- web documents
- bipartite graph
- multilayer perceptron
- fault diagnosis
- feed forward
- relational data