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 18):
The computer-implemented method of  claim 17 , wherein the training of the machine learning model comprises adjusting the one or more weights and/or biases associated with the at least one kernel, and wherein the one or more weights and/or biases are adjusted to at least minimize an error in the identification of the at least one correlation between the first content of the second document, the attribute of the second document, and/or the external factor.

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): 0.3108063279658103
- 35 USC 102 Novelty (BERT): 0.4594903389790767
- Combined Prediction Score: 0.325674729067137
- Mean Citation Score: 149.87671400000005
- Max Citation Score: 171.82355
- Similarity Product: 139.47945565572385

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