Machine learning to adapt extraction to different documents

Abstract

Techniques for adapting extraction to different documents using machine learning are provided. In one technique, multiple parsing rules are stored, each parsing rule being used to map field values in extracted text to field names associated with the parsing rule. In response to receiving a request to use a parsing rule for a particular document, a particular parsing rule is selected from among the parsing rules. Text data associated with the particular document is extracted. The particular parsing rule is used to map field values (in the extracted text data) to field names associated with the particular parsing rule. First input that selects data associated with a particular field name of the field names is received. Second input that selects a visual portion of the particular document is also received. The particular parsing rule is updated based on the first and second inputs to generate an updated parsing rule.