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 16):
The system of  claim 15 , wherein the one or more hardware processors are further configured to extract data from the unstructured form of the one or more source documents by:\n creating a master map of elements comprised in each page of the intermediate XML form, wherein the elements include page numbers and groups based on the attributes; determining a physical layout of each page based on the created master map; identifying the one or more source documents having the unstructured form based on a type associated thereof; creating an extracted XML form having a page by page flow based on the physical layout; segmenting the extracted XML into sentences and further extracting a set of sentence clauses from the sentences by:\n eliminating word joins and symbols in the sentences; \n annotating the sentences using a dependency parser; \n extracting the set of sentence clauses from the annotated sentences based on noun chunks, verb spans and dependencies between words in the sentences and a second set of pre-defined rules, wherein the dependencies are stored as a dependency tree in the form of a graph; \n parsing subject clauses and object clauses from the set of sentence clauses for the context dictionary match to obtain one or more entities; validating the obtained one or more entities based on either the context dictionary match or a probabilistic approach; extracting one or more validated entities along with attributes thereof as the extracted data; and populating the Enterprise-to Business (E2B) XML form based on at least a part of the extracted data.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 90.0
- Lexical Diversity: 1.51579
- Patent Class: 715.0
- Transitional Phrase Type: none
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12689629', '11012089', '14583502', '14455447', '11172955']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3506538823444592
- 35 USC 102 Novelty (BERT): 0.47347649549825
- Combined Prediction Score: 0.3629361436598383
- Mean Citation Score: 177.00448799999995
- Max Citation Score: 180.94598
- Similarity Product: 137.41061631603242

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