Dynamic persona-based document navigation

A non-transitory computer-readable medium storing computer-executable instructions that, when executed by a processing device, cause the processing device to perform operations comprising:

• identifying, using a machine learning model, an interest within a portion of a document;
• associating an object in the document to the portion of the document by finding a similarity between a first set of entities in the portion of the document and a second set of entities in the object;
• associating the object with the interest identified in the portion of the document;
• generating a navigation interface that includes navigable links to portions of the document that are associated with the interest, wherein the navigable links include a first link to the portion of the document and a second link to the object, wherein the navigable link is phrased as a question that is automatically generated by a natural language processing model having an encoder-decoder architecture, wherein the natural language processing model is trained using a coverage reward calculated that is positive when a generated question contains a first set of keywords similar to a second set of keywords found in the linked portion of the document;
• outputting the navigation interface for display:
• receiving an interaction with the second link;
• and
• in response to the interaction, outputting the object for display.

A system comprising:

• a memory component;
• and
• a processing device coupled to the memory component, the processing device to perform operations comprising:
• generating a document interface that displays a document content;
• generating a navigation interface that includes a document navigation aid, wherein the navigation interface includes a navigable link phrased as a question answered by a portion of the document linked to the navigable link, wherein the document interface is output for display adjacent to the navigation interface, wherein the question is automatically generated by a natural language processing model having an encoder-decoder architecture, wherein the natural language processing model is trained using an answerability award calculated based on whether a generated question is answered in the linked portion of the document, wherein the answerability award is calculated using a classifier;
• receiving an interaction with the navigable link;
• and
• in response to the interaction, outputting the portion of the document linked of the navigable link for display on the document interface.