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 1):
A processor implemented method ( 200 ) comprising:\n extracting metadata associated with one or more source documents, wherein the one or more source documents are identified as having a structured form, a semi-structured form, an unstructured form, an image form or a combination thereof, based on the extracted metadata ( 202 ); processing the one or more source documents for extracting data comprising entities and attributes thereof ( 204 ); extracting data from the one or more source documents in either native language or English language based on cognitive processing of the one or more source documents to obtain an Enterprise-to Business (E2B) Extensible Markup Language (XML) form having a pre-defined set of templates ( 206 ); evaluating the Enterprise-to Business (E2B) XML form for accuracy and completion of the step of extracting data ( 208 ); and deciding validity of the one or more source documents based on existence of content in the pre-defined set of templates ( 210 ).

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): 0.3206727621592226
- 35 USC 102 Novelty (BERT): 0.4833950927313534
- Combined Prediction Score: 0.3369449952164356
- Mean Citation Score: 177.00448799999995
- Max Citation Score: 180.94598
- Similarity Product: 116.91930065167423

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