AUTOMATICALLY EXTRACTING KEY-VALUE DATA INCLUDED IN HETEROGENEOUS DOCUMENT TYPES USING GRAPH REPRESENTATION LEARNING
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United States of America
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Jan 30, 2025
app pub date -
Jul 28, 2023
filing date -
Jul 28, 2023
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Abstract
Systems and methods are disclosed for automatically extracting keys and corresponding values in any type of source document. Extracting desired words from the tokens in any type of document is based on a uniform approach to represent the source document. This uniform representation encodes features of the desired tokens along with the neighborhood information so that values associated with a given key can be extracted. The disclosed technique learns the representation of tokens independent of source document type and the learned representation is then used to determine relationships between multiple tokens. The neighborhood information and position information are used to determine various relationships between keys and values.
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