PATENT CLAIM ANALYSIS

Application Number: 16455959
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-10
Patent Classification: ["704", "009000"]

Abstract:
Training data including a first and second group of questions each associated with an answer is read into memory by a computer. A class of answers including the answer to a question for each question is determined, where each class of answers has a class label that is associated with each of the questions, and each of the questions are classified into a respective class of answers, accordingly. First and second training data is generated including the first and second groups of questions and corresponding classes of answers for use in first and second classifiers, respectively. Each question of the first and second group of questions is classified by the second and first classifiers, respectively, where the classifying generates corresponding classification results. The first or second training data is updated based on the classification results to generate corresponding updated first or second training data, respectively.

Claim (Index 2):
A computer program product comprising:\n one or more computer-readable storage devices and program instructions stored on at least one of the one or more computer-readable storage devices for execution by at least one or more computer processors of a computer system, the program instructions, when executed by the at least one of the one or more computer processors, causing the computer system to perform a method for updating first and second classifiers, the method comprising: determining a respective class of answers for each question of first and second groups of questions, each of the questions being classified into a respective class of answers; generating first classification results by classifying, using the second classifier, each question of the first group of questions into a corresponding class of answers; generating second classification results by classifying, using the first classifier, each question of the second group of questions into a corresponding class of answers; updating first training data based on the first classification results; updating second training data based on the second classification results; updating the first classifier using the updated first training data; and updating the second classifier using the updated second training data.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 100.0
- Lexical Diversity: 2.61667
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16455902', '15845031', '15705596', '14955547', '14603019']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3280934206771702
- 35 USC 102 Novelty (BERT): 0.6367943679148953
- Combined Prediction Score: 0.3589635154009427
- Mean Citation Score: 450.947144
- Max Citation Score: 606.09625
- Similarity Product: 569.3503903131189

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

Dataset: test