PATENT CLAIM ANALYSIS

Application Number: 15898296
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-12
Patent Classification: ["704", "009000"]

Abstract:
Generating, updating, and using a knowledge graph. Concepts in a knowledge graph can have relations to one another. These relations may be expressed as confidence values. A training data set may be split into two portions, with the first portion used to update confidence values for existing relations between concept pairs, using the knowledge graph. These confidence values can be used, together with the second portion used to update confidence values for known phrases that express known relations. These confidence values, in turn, can be used, together with the first portion, to increase the accuracy of the original confidence scores with respect to existing relations. The process may be iteratively employed, with each iteration increasing the accuracy of confidence scores.

Claim (Index 1):
A computer implemented method for processing an electronically stored knowledge graph comprising:\n receiving a set of natural language text; labeling the natural language text, the labeling comprising identifying concepts in the natural language text and parsing the natural language text; splitting the natural language text into at least a first portion and a second portion; performing a first analysis, on sentences of the first portion, the first analysis comprising a category-based initialization on identified concepts of the first portion of the natural language text, the category-based initialization yielding a first set of confidence values measuring, for a given sentence including a concept pair, a likelihood that the sentence is an instance of an existing relation of the concepts in the concept pair, wherein the category based initialization comprises identifying, in a given sentence in the first portion of the natural language text, at least one concept pair; identifying an existing relation between respective categories of each concept in the concept pair; and determining a likelihood that the given sentence exhibits the known relation; performing a second analysis, on sentences of the second portion, the second analysis yielding a second set of confidence values measuring, for a given sentence including a concept pair, a likelihood that a phrase connecting concepts in the concept pair is an instance of an existing relation between the concepts in the concept pair, wherein the second set of confidence values is based, in part, on the first confidence values; performing a third analysis, on sentences of the first portion, the third analysis yielding a third set of confidence values measuring, for a given sentence including a concept pair, a likelihood that a concept pair exhibits an existing relation for concepts of the concept pair, wherein the third set of confidence values is based, in part on the second confidence values; iteratively processing sentences of the first portion and sentences of the second portion, the processing comprising updating the first, second, and third sets of confidence values based on the processing; updating the reference knowledge graph to include relations between concepts whose corresponding confidence scores exceed a threshold value; and using the updated reference knowledge graph in an analysis of additional natural language text.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 2.1746
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15629896', '15629891', '15898284', '15609800', '11744479']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3207588613074585
- 35 USC 102 Novelty (BERT): 0.5629673858529148
- Combined Prediction Score: 0.3449797137620042
- Mean Citation Score: 332.16795
- Max Citation Score: 433.6661
- Similarity Product: 421.0066352549791

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

Dataset: test