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 17):
The non-transitory computer readable medium of  claim 13 , wherein the structural block tag comprises a paragraph tag or a non-paragraph tag, wherein the paragraph tag comprises one of a footnote tag, a paragraph start tag, a single line tag, or a paragraph tag, and wherein the non-paragraph tag comprises one of a section header tag, a list tag, a table of content tag, a title tag, or an un-classified tag.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 2.61017
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14096532', '11954484', '15474194', '12614387', '15175712']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2989901850610704
- 35 USC 102 Novelty (BERT): 0.5019348939199887
- Combined Prediction Score: 0.3192846559469622
- Mean Citation Score: 177.955142
- Max Citation Score: 187.4946
- Similarity Product: 119.35576886311767

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