Glean: Structured Extractions from Templatic Documents

Sandeep Tata, Navneet Potti, James B Wendt, Lauro Beltrão Costa, Marc Najork, Beliz Gunel

Abstract: Extracting structured information from templatic documents is an important problem with the potential to automate many real-world business workflows such as payment, procurement, and payroll. The core challenge is that such documents can be laid out in virtually infinitely different ways. A good solution to this problem is one that generalizes well not only to known templates such as invoices from a known vendor, but also to unseen ones.