Computing system for extraction of textual elements from a document
地域：
OH
OH Westlake
摘要
Described herein are various technologies pertaining to text extraction from a document. A computing device receives the document. The document comprises computer-readable text and a layout, wherein the layout defines positions of the computer-readable text within a two-dimensional area represented by the document. Responsive to receiving the document, the computing device identifies at least one textual element in the computer-readable text based upon spatial factors between portions of the computer-readable text and contextual relationships between the portions of the computer-readable text. The computing device then outputs the at least one textual element.
說明書
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In an embodiment, the computer-implemented model 120 may be or include a Bayesian hierarchical model, a random forest model, or a neural network model. When the computer-implemented model 120 is a neural network model, the neural network model may be or include an artificial neural network (ANN) model, a deep neural network (DNN) model, a convolutional neural network (CNN) model, a recurrent neural network (RNN) model, or another suitable neural network model.
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