PATENT CLAIM ANALYSIS

Application Number: 16001095
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["358", "462000"]

Abstract:
A method for identifying sections of contracts. This method works well with documents that originated from scanned images, i.e., documents that could possibly include noise and misleading cues.

Claim (Index 7):
A structured table of contents product-by-process in the form of computerized text produced by a computerized device and represented in a non-transitory computerized storage medium, produced by a method for determining document structure, said method comprising:\n identifying potential section markers appearing at the beginning of lines of an input document; identifying similar types of said potential section markers; distinguishing between references and section markers and weeding out references, thereby identifying real section markers among said potential section markers; said computerized device identifying legitimate and illegitimate numbering sequences, lettering sequences, or combined numbering and lettering sequences of said real section markers without operator intervention; said computerized device identifying structural inclusion relations among said real section markers which are identified to adhere to said legitimate numbering sequences, lettering sequences, or combined numbering and lettering sequences without operator intervention; and said computerized device generating a structured table of contents from said real, legitimately-sequenced section markers without operator intervention.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 94.0
- Lexical Diversity: 1.18519
- Patent Class: 358.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14678958', '15242714', '13644340', '11599947', '12719982']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.482302488114602
- 35 USC 102 Novelty (BERT): 0.589628140426235
- Combined Prediction Score: 0.4930350533457653
- Mean Citation Score: 318.22219600000005
- Max Citation Score: 475.5083
- Similarity Product: 453.1792823028803

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

Dataset: test