Continuous learning for document processing and analysis

A system comprising:

• a memory;
• a processor coupled to the memory, the processor configured to:
• receive one or more documents;
• perform optical character recognition on the one or more documents to detect words comprising symbols in the one or more documents;
• determine a encoding value for each of the symbols;
• apply a first hash function to each encoding value to generate a first set of hashed symbol values;
• apply a second hash function to each hashed symbol value of the first set of hashed symbol values to generate a vector array comprising a second set of hashed symbol values;
• apply a linear transformation to each value of the second set of hashed symbol values of the vector array;
• apply an irreversible non-linear activation function to the vector array to obtain abstract values associated with the symbols;
• and
• save, to the memory, the abstract values to train a neural network to detect fields in an input document.

A non-transitory machine-readable storage medium including instructions that, when accessed by a processing device, cause the processing device to:

• receive one or more documents;
• perform optical character recognition on the one or more documents to detect words comprising symbols in the one or more documents;
• determine a encoding value for each of the symbols;
• apply a first hash function to each encoding value to generate a first set of hashed symbol values;
• apply a second hash function to each hashed symbol value of the first set of hashed symbol values to generate a vector array comprising a second set of hashed symbol values;
• apply a linear transformation to each value of the second set of hashed symbol values of the vector array;
• apply an irreversible non-linear activation function to the vector array to obtain abstract values associated with the symbols;
• and
• save, to a memory, the abstract values to train a neural network to detect fields in an input document.