Methods and systems for artificial intelligence-assisted document annotation

A system comprising:

• one or more processors;
• a memory;
• an electronic display device;
• and
• one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for:
• displaying, within a first region of a graphical user interface, an electronic document, or a page therefrom;
• displaying, within a second region of the graphical user interface, a list of suggested labels that may be applicable to categories of text within the electronic document;
• receiving a first input from a user indicating a first selection of text within the first region of the graphical user interface;
• receiving a second input from the user to assign a first label from the list of suggested labels to the selected text;
• displaying, within the first region of the graphical user interface, a graphic element comprising the assigned first label and the first selection of text, wherein the graphic element is adjacent to, or overlaid on, a location of the first selection of text;
• storing the assigned first label, the first selection of text, and the location of the first selection of text for one or more instances of the first selection of text within the electronic document as an annotated electronic document;
• receiving a third input from the user indicating a second selection of text within the first region of the graphical user interface;
• receiving a fourth input from the user to assign a second label from the list of suggested labels to the second selection of text;
• displaying, within the first region of the graphical user interface, a graphic element comprising the assigned second label and the second selection of text;
• storing the assigned second label, the second selection of text, and the location of the second selection of text for one or more instances of the second selection of text within the annotated electronic document;
• and
• using the annotated electronic document to train a first machine learning model to extract text corresponding to the first label and to train a second machine learning model to extract text corresponding to the second label, wherein the first and second machine learning models are stored in a repository of user-selectable machine learning models for performing data extraction from electronic documents.

A non-transitory computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, the instructions when executed by one or more processors of a computing platform, cause the computing platform to:

• display, within a first region of a graphical user interface, an electronic document, or a page therefrom;
• display, within a second region of the graphical user interface, a list of suggested labels that may be applicable to categories of text within the electronic document;
• receive a first input from a user indicating a first selection of text within the first region of the graphical user interface;
• receive a second input from the user to assign a first label from the list of suggested labels to the selected text;
• display, within the first region of the graphical user interface, a graphic element comprising the assigned first label and the first selection of text, wherein the graphic element is adjacent to, or overlaid on, a location of the first selection of text;
• store the assigned first label, the first selection of text, and the location of the first selection of text for one or more instances of the first selection of text within the electronic document as an annotated electronic document;
• receiving a third input from the user indicating a second selection of text within the first region of the graphical user interface;
• receiving a fourth input from the user to assign a second label from the list of suggested labels to the second selection of text;
• displaying, within the first region of the graphical user interface, a graphic element comprising the assigned second label and the second selection of text;
• storing the assigned second label, the second selection of text, and the location of the second selection of text for one or more instances of the second selection of text within the annotated electronic document;
• and
• using the annotated electronic document to train a first machine learning model to extract text corresponding to the first label and to train a second machine learning model to extract text corresponding to the second label, wherein the first and second machine learning models are stored in a repository of user-selectable machine learning models for performing data extraction from electronic documents.