Semantic map generation using hierarchical clause structure

A tangible, non-transitory, machine-readable medium storing instructions that when executed by one or more processors effectuate operations comprising:

• obtaining, with a computer system, a natural-language-text document comprising unstructured text;
• determining, with the computer system, a document structure corresponding to the unstructured text of the natural language text document;
• identifying, with the computer system, a plurality of clauses within the document structure;
• generating, with the computer system, using a trained machine learning model, a hierarchical structure;
• determining, with the computer system, based on a trigger word associated with a first category within the hierarchical structure and a first set of machine learning model parameters, a region within the unstructured text comprising descriptors associated with the first category;
• determining, with the computer system, from the region based on a second set of machine learning model parameters, a descriptor describing an action or condition of the first category;
• generating, with the computer system, a data model object comprising the descriptor defining an action or condition of the first category;
• and
• storing, with the computer system, the data model object in memory.