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Found 4 papers, 3 papers with code
Attend, Copy, Parse -- End-to-end information extraction from documents
We believe our proposed architecture can be used on many real life information extraction tasks where word classification cannot be used due to a lack of the required word-level labels.
CloudScan - A configuration-free invoice analysis system using recurrent neural networks
We describe a recurrent neural network model that can capture long range context and compare it to a baseline logistic regression model corresponding to the current CloudScan production system.
End-to-End Information Extraction without Token-Level Supervision
End-to-end (E2E) models, which take raw text as input and produce the desired output directly, need not depend on token-level labels.
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