PATENT CLAIM ANALYSIS

Application Number: 15922720
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["715", "254000"]

Abstract:
One embodiment provides a method, including: obtaining at least two documents, wherein one of the at least two documents comprises a different revision of another of the at least two documents; identifying a structure of each of the at least two documents by parsing each of the at least two documents to extract text from each of the at least two documents; aligning sections of the at least two documents, wherein the aligning comprises matching a section from one of the at least two documents and a corresponding section from another of the at least two documents; identifying at least one difference between the at least two documents; assigning a semantic label to the identified at least one difference; and providing a summary of the identified at least one difference by compressing the text surrounding the identified at least one difference using the assigned semantic label.

Claim (Index 15):
The computer program product of  claim 14 , wherein the identifying the phrase comprises using a natural language parsing technique.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 90.0
- Lexical Diversity: 3.12
- Patent Class: 715.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13315298', '15051051', '13893044', '10744342', '14825171']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2948130504606623
- 35 USC 102 Novelty (BERT): 0.481920183394035
- Combined Prediction Score: 0.3135237637539996
- Mean Citation Score: 166.92426
- Max Citation Score: 169.36383
- Similarity Product: 119.09997362377882

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

Dataset: test