Artificial intelligence-based prior art document identification system
AssigneePalantir Technologies Inc.
InventorsDaniel Erenrich, Anirvan Mukherjee, Matthew Elkherj, Maxim Kesin, Adam Eltoukhy, Jason Lee
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AssigneePalantir Technologies Inc.
InventorsDaniel Erenrich, Anirvan Mukherjee, Matthew Elkherj, Maxim Kesin, Adam Eltoukhy, Jason Lee
Estimating the term…
Various systems and methods are provided that identify prior art patent references for a subject patent application. For example, the system preprocesses a corpus of patent references to identify keywords that are present in each of the patent references, n-grams present in the corpus, and a weighting associated with the identified n-grams. To identify prior art patent references, the system requests a user to provide a patent application. The system extracts n-grams found in the provided patent application and orders the n-grams based on the assigned n-gram weights. The system compares the top Y-rated n-grams with the identified keywords and retrieves patent references that include a keyword that matches one of the top Y-rated n-grams. The system re-ranks the retrieved patent references using, for example, artificial intelligence. The top Z-ranked retrieved patent references are transmitted to a user device for display in a user interface.
A computer-implemented method for identifying relevant documents using artificial intelligence comprising:
A document identification system for identifying a prior art reference using artificial intelligence comprising:
Non-transitory, computer-readable storage media comprising computer-executable instructions for identifying a prior art reference using artificial intelligence, wherein the computer-executable instructions, when executed by a computer system, cause the computer system to:
Dependencies are inferred from the claim text.