ARTIFICIAL INTELLIGENCE-BASED PRIOR ART DOCUMENT IDENTIFICATION SYSTEM
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 weighti...
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Main Authors | , , , , , |
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Format | Patent |
Language | English French German |
Published |
17.01.2018
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | Application Number: EP20170180788 |