PATENT CLAIM ANALYSIS

Application Number: 16005327
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-11
Patent Classification: ["707", "728000"]

Abstract:
Techniques for machine-based identification of objects extracted from text documents in natural language are disclosed. An example method may comprise: identifying matching pairs of one or more information objects corresponding to a real world object, one information object from the document and at least one information object from the document storage for a combination of global identification patterns that exist in the document and in the document storage; ascertaining consistency of the matching pairs and determining which of the one or more information objects in the document are suitable for merging into the document storage; and adding the one or more information objects from the document to the document storage to associate information objects corresponding to the real world object.

Claim (Index 16):
The system of  claim 12 , wherein the processor is further to:\n compute weights of each pattern of the combination; and generate a unicity parameter and a specialty parameter for the combination.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.21053
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14714556', '14663868', '15609800', '11459202', '13689659']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1723207320104294
- 35 USC 102 Novelty (BERT): 0.5362052162118192
- Combined Prediction Score: 0.2087091804305683
- Mean Citation Score: 194.494082
- Max Citation Score: 363.32578
- Similarity Product: 297.62637980578063

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