SYSTEMS AND METHODS FOR USING MACHINE LEARNING AND RULES-BASED ALGORITHMS TO CREATE A PATENT SPECIFICATION BASED ON HUMAN-PROVIDED PATENT CLAIMS SUCH THAT THE PATENT SPECIFICATION IS CREATED WITHOUT HUMAN INTERVENTION
First Claim
1. A system configured for using machine learning and/or rules-based algorithms to automatically convert portions of patent claims into portions of a patent specification, the system comprising:
- one or more hardware processors configured by machine-readable instructions to;
obtain at least a portion of a patent claim, the patent claim being a numbered sentence that precisely defines an invention;
determine, based on the claim set, a first data structure representing the claim set, the first data structure including language units from the claim set, the language units being in patentese, wherein patentese includes text structure and legal jargon commonly used in patent claims, and a given language element includes one or more of a word, a phrase, a clause, or a sentence;
determine, based on one or both of the claim set or the first data structure, a second data structure, the second data structure including language elements associated with the claim set, the language elements of the second data structure being in prose rather than patentese, wherein prose includes an ordinary form of written language, wherein a given language unit in patentese is transformed into a corresponding language unit in prose based on a natural language generation operation; and
determine at least a portion of one or more sections of the patent specification by assembling language units from the first data structure and the second data structure.
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Accused Products
Abstract
Systems and methods for using machine learning and rules-based algorithms to create a patent specification based on human-provided patent claims such that the patent specification is created without human intervention are disclosed. Exemplary implementations may: obtain a claim set; obtain a first data structure representing the claim set; obtain a second data structure; obtain a third data structure; and determine one or more sections of the patent specification based on the first data structure, the second data structure, and the third data structure.
6 Citations
20 Claims
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1. A system configured for using machine learning and/or rules-based algorithms to automatically convert portions of patent claims into portions of a patent specification, the system comprising:
one or more hardware processors configured by machine-readable instructions to; obtain at least a portion of a patent claim, the patent claim being a numbered sentence that precisely defines an invention; determine, based on the claim set, a first data structure representing the claim set, the first data structure including language units from the claim set, the language units being in patentese, wherein patentese includes text structure and legal jargon commonly used in patent claims, and a given language element includes one or more of a word, a phrase, a clause, or a sentence; determine, based on one or both of the claim set or the first data structure, a second data structure, the second data structure including language elements associated with the claim set, the language elements of the second data structure being in prose rather than patentese, wherein prose includes an ordinary form of written language, wherein a given language unit in patentese is transformed into a corresponding language unit in prose based on a natural language generation operation; and determine at least a portion of one or more sections of the patent specification by assembling language units from the first data structure and the second data structure. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method for using machine learning and/or rules-based algorithms to automatically convert portions of patent claims into portions of a patent specification, the method comprising:
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obtaining at least a portion of a patent claim, the patent claim being a numbered sentence that precisely defines an invention; determining, based on the claim set, a first data structure representing the claim set, the first data structure including language units from the claim set, the language units being in patentese, wherein patentese includes text structure and legal jargon commonly used in patent claims, and a given language element includes one or more of a word, a phrase, a clause, or a sentence; determining, based on one or both of the claim set or the first data structure, a second data structure, the second data structure including language elements associated with the claim set, the language elements of the second data structure being in prose rather than patentese, wherein prose includes an ordinary form of written language, wherein a given language unit in patentese is transformed into a corresponding language unit in prose based on a natural language generation operation; and determining at least a portion of one or more sections of the patent specification by assembling language units from the first data structure and the second data structure. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification