Machine learning based classification and annotation of paragraph of resume document images based on visual properties of the resume document images, and methods and apparatus for the same

A non-transitory processor-readable medium storing code representing instructions to be executed by a processor of a first compute device, the code comprising code to cause the processor to:

• receive, from a second compute device remote from the first compute device, a statistical model trained, at the second compute device, based on (1) a plurality of resume document images having a standardized format and (2) a plurality of annotated resume document images;
• receive a resume document having a plurality of paragraphs;
• generate a resume document image, not included within the plurality of resume document images, having the standardized format, based on the resume document;
• execute the statistical model to generate an annotated resume document image from the resume document image, the annotated resume document image (1) indicating a bounding box and a paragraph type, for a paragraph from the plurality of paragraphs of the annotated resume document image, and (2) not included in the plurality of annotated resume document images;
• identify a block of text in the resume document corresponding to the paragraph of the annotated resume document image;
• and
• extract the block of text from the resume document and associate the paragraph type to the block of text.

A method, comprising:

• receiving a plurality of resume documents, each resume document from the plurality of resume documents having a plurality of paragraphs;
• generating a plurality of resume document images having a standardized format, based on the plurality of resume documents, each resume document image from the plurality of resume document images having a plurality of paragraphs;
• annotating, for each resume document images from the plurality of document images, the plurality of paragraphs of the plurality of resume document images with a plurality of bounding boxes to generate a plurality of annotated resume document images, each bounding box from the plurality of bounding boxes indicating at least a cartesian coordinate and a paragraph type from a plurality of paragraph types;
• training a statistical model based on the plurality of resume document images and the plurality of annotated resume document images;
• receiving a resume document not included within the plurality of resume documents;
• generating a resume document image having the standardized format, based on the resume document not included within the plurality of resume documents;
• and
• executing, after training, the statistical model to generate an annotated resume document image based on the resume document image not included within the plurality of annotated resume document images, the annotated resume document image indicating a bounding box and a paragraph type, for each paragraph of the resume document image.