Patent ID: 11928427
Assignee: AON RISK SERVICES, INC. OF MARYLAND
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A method comprising:
obtaining a patent document that includes a claim, wherein the patent document is classified according to a classification;
generating, based upon a natural language processing technique, noun phrases for the patent claim within the patent document, wherein the natural language processing technique segments the patent claim, performs syntactic parsing, generates tagging data associated with the patent claim, and utilizes a claim-specific grammar model to generate the noun phrases;
generating a trained machine learning model configured to identify elements of claims, the trained machine learning model trained on a document corpus specific to the patent document;
analyzing the noun phrases to identify an element of the claim, the element comprising a plurality of syntactically related concepts in the claim, wherein the analyzing is performed utilizing the trained machine learning model;
generating, based at least in part on a breadth value associated with the element, a search string that includes at least one word from the element of the claim;
sending, via one or more communication interfaces, the search string to a third-party searching authority;
obtaining a plurality of additional patent documents, the plurality of additional patent documents being classified according to the classification and the plurality of additional patent documents including a first set of additional patent documents having a first priority date before a priority date of the patent document and a second set of additional patent documents having a second priority date after the priority date of the patent document;
determining a first frequency of occurrence of a word of the element of the claim in the first set of additional patent documents;
determining a second frequency of occurrence of the word of the element of the claim in the second set of additional patent documents;
analyzing the first frequency of occurrence of the word with respect to a first threshold frequency of occurrence; and
analyzing the second frequency of occurrence of the word with respect to a second threshold frequency of occurrence, the second threshold frequency of occurrence being greater than the first threshold frequency of occurrence.