PATENT CLAIM ANALYSIS

Application Number: 15942500
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-08
Patent Classification: ["382", "161000"]

Abstract:
This disclosure relates generally to document processing, and more particularly to method and system for determining structural blocks of a document. In one embodiment, the method may include extracting text from the document, the text including text lines. The method may further include generating a feature vector for each of the text lines, the feature vector for the text line including a set of feature values for a set of corresponding features in the text line. The method may further include creating an input matrix for each of the text lines, the input matrix for the text line including a set of feature vectors corresponding to a set of neighboring text lines along with the text line. The method may further include determining a structural block tag for each of the text lines based on the corresponding input matrix using a machine learning model.

Claim (Index 13):
A non-transitory computer readable medium having stored thereon instructions for determining document structural blocks comprising executable code which when executed by one or more processors, causes the processors to:\n extract text from a document, wherein the text comprises a plurality of text lines; generate a feature vector for each of the text lines, wherein the feature vectors each comprise a set of feature values for a set of corresponding features in one of the text lines; create an input matrix for each of the text lines, wherein the input matrices each comprise a set of feature vectors corresponding to a set of neighboring ones of the text lines along with one of the text lines; and determine a structural block tag for each of the text lines based on the corresponding one of the input matrices using a machine learning model.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 2.61017
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14096532', '11954484', '15474194', '12614387', '15175712']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2775696337124409
- 35 USC 102 Novelty (BERT): 0.4855330623219466
- Combined Prediction Score: 0.2983659765733915
- Mean Citation Score: 177.955142
- Max Citation Score: 187.4946
- Similarity Product: 137.8180999521017

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

Dataset: test