PATENT CLAIM ANALYSIS

Application Number: 15907237
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["715", "255000"]

Abstract:
A method for machine learning based document editing is provided. The method may include receiving, from a client, one or more inputs associated with a document. A recommendation to include and/or exclude a clause, a term, and/or a line item from the document may be generated by at least processing the one or more inputs with a machine learning model. The recommendation to include and/or exclude the clause, the term, and/or the line item from the document may be provided to the client. Related systems and articles of manufacture, including computer program products, are also provided.

Claim (Index 17):
The computer-implemented method of  claim 16 , wherein the machine learning model includes at least one kernel, the at least one kernel associated with one or more weights and biases, and the at least one kernel configured to identify the at least one correlation by at least applying the one or more weights and biases to the first matrix and/or the second matrix.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.0566
- Patent Class: 715.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15345439', '15838256', '15463662', '14304863', '15345444']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3088773502638407
- 35 USC 102 Novelty (BERT): 0.4680740034291578
- Combined Prediction Score: 0.3247970155803724
- Mean Citation Score: 149.87671400000005
- Max Citation Score: 171.82355
- Similarity Product: 129.9413179885328

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test