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Extracting Knowledge from Receipts with Recurrent Neural Networks

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Northeastern University Seattle

225 Terry Avenue North

3rd floor, room 306

Seattle, WA 98109

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ExpenseIt is a product that allows users to create expense reports by simply taking pictures of their receipts. On the backend, a system of interconnected machine learning models is tasked with automatically extracting important token values (such as the currency, amount, location, vendor, expense type, etc) from these receipts. In this talk we will describe how that process was envisioned, implemented, and how we have been improving upon that overtime with the use of state-of-the-art neural network models.


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Data Scientists at Concur - Shivani Patel & Mike Stark

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Northeastern University Seattle

225 Terry Avenue North

3rd floor, room 306

Seattle, WA 98109

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