Method and device for automatic data correction using context and semantic aware learning techniques

A data extraction device for automatic data correction, the data extraction device comprises:

• a processor;
• and
• a memory communicatively coupled to the processor, wherein the memory stores processor instructions, which, on execution, causes the processor to:
• extract data within a document as machine readable text in a predefined format;
• encode each word of each line in the machine readable text to a multi-dimension word vector;
• generate a context word vector for each word in each line based on multi-dimension vectors associated with one word immediately succeeding a word in a line comprising the word and one word immediately preceding the word in the line;
• decode the context word vector associated with each word in each line to generate a corrected context word vector for each word;
• and
• validate the corrected context word vector associated with each word in each line, wherein validating comprises:
• computing a mean value of context word vectors associated with words of the line within the machine readable text;
• and
• comparing the mean value of the context word vectors with a label or ground truth to determine whether the line is correct or incorrect.

A non-transitory computer-readable storage medium having stored thereon, a set of computer-executable instructions causing a computer comprising one or more processors to perform steps comprising:

• extracting data within a document as machine readable text in a predefined format;
• encoding each word of each line in the machine readable text to a multi-dimension word vector;
• generating a context word vector for each word in each line based on multi-dimension vectors associated with one word immediately succeeding a word in a line comprising the word and one word immediately preceding the word in the line;
• decoding the context word vector associated with each word in each line to generate a corrected context word vector for each word;
• and
• validating the corrected context word vector associated with each word in each line, wherein validating comprises:
• computing a mean value of context word vectors associated with words of the line within the machine readable text;
• and
• comparing the mean value of the context word vectors with a label or ground truth to determine whether the line is correct or incorrect.