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CloudScan - A configuration-free invoice analysis system using recurrent neural networks
[article]
2017
arXiv
pre-print
We present CloudScan; an invoice analysis system that requires zero configuration or upfront annotation. In contrast to previous work, CloudScan does not rely on templates of invoice layout, instead it learns a single global model of invoices that naturally generalizes to unseen invoice layouts. The model is trained using data automatically extracted from end-user provided feedback. This automatic training data extraction removes the requirement for users to annotate the data precisely. We
arXiv:1708.07403v1
fatcat:3zxolqamfncb3m5qdb67pji5xq