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 12):
The processor implemented method of  claim 11  further comprising performing decision traceability pertaining to at least the steps of:\n validating the one or more entities based on a context dictionary match or a probabilistic approach; \n correlating the set of templates obtained from the Enterprise-to Business (E2B) XML form; \n deciding on validity of the one or more source documents; and \n classifying the validated one or more source documents, by contextual logging of the steps, capturing input and output of each of the steps and linking transformation of information at each of the.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 90.0
- Lexical Diversity: 1.51579
- Patent Class: 715.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12689629', '11012089', '14583502', '14455447', '11172955']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3217839207077233
- 35 USC 102 Novelty (BERT): 0.4784703186939628
- Combined Prediction Score: 0.3374525605063473
- Mean Citation Score: 177.00448799999995
- Max Citation Score: 180.94598
- Similarity Product: 122.9345310975015

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