PATENT CLAIM ANALYSIS

Application Number: 15935591
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-04
Patent Classification: ["715", "234000"]

Abstract:
With the scale of information available today along with the existing diverse channels of communication, manual processing of information is becoming a challenge and companies across industries are under tremendous pressure to lower transactional costs. Artificial Intelligence based automation of business transactions has seen regulatory hurdles due to probabilistic nature of the outcome. The main challenge lies in processing of transactions with unstructured information. Systems and methods of the present disclosure uses deterministic as well as probabilistic approaches to maximize accuracy. The larger use of deterministic approach with configurable components and ontologies helps to improvise accuracy, precision and reduce recall. The probabilistic approach is used when there is absence of quality information or less information for learning. Also, confidence indicators are provided at attribute level of data being processed and at each decision level.

Claim (Index 8):
The processor implemented method of  claim 5 , wherein the context dictionary is created by:\n receiving one or more training documents; annotating sentences contained in the one or more training documents and identifying entities therein; extracting sentence clauses from the annotated sentences and identifying sentence clauses having the identified entities; analyzing context association of the identified entities with verb spans in the sentence clauses; computing frequency of the context association based on a context mining method; and selecting the context association to be included in the context dictionary based on the computed frequency thereof.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 90.0
- Lexical Diversity: 1.51579
- Patent Class: 715.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12689629', '11012089', '14583502', '14455447', '11172955']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3498797021763732
- 35 USC 102 Novelty (BERT): 0.4738738501005295
- Combined Prediction Score: 0.3622791169687888
- Mean Citation Score: 177.00448799999995
- Max Citation Score: 180.94598
- Similarity Product: 131.35591196185229

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

Dataset: test