PATENT CLAIM ANALYSIS

Application Number: 15752939
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["704", "009000"]

Abstract:
The disclosure provides an information processing method and device. In one embodiment, an information processing method comprises receiving a request for generating questions inputted by a user, the request for generating questions includes a to-be-learned knowledge point; acquiring, from a knowledge graph for questions, a node path including a target node indicating the to-be-learned knowledge point, the nodes in the knowledge graph for questions indicating question-answering steps of existing questions, knowledge points tested in the question-answering steps, and questioning styles corresponding to the question-answering steps; and generating questions required by the user according to question-answering steps, knowledge points tested in the question-answering steps, and questioning styles corresponding to the question-answering steps indicated by nodes on the node path. The present disclosure enables generation of new questions and facilitates the expansion of a question bank.

Claim (Index 34):
The method of  claim 32 , further comprising selecting, by the server device, the path from the set of candidate paths by ranking the candidate paths and selecting the path if the path is the highest ranking path.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 88.0
- Lexical Diversity: 2.3871
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14460066', '14965369', '13776084', '13679618', '15265955']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2361121101964379
- 35 USC 102 Novelty (BERT): 0.5205788820750155
- Combined Prediction Score: 0.2645587873842957
- Mean Citation Score: 218.484634
- Max Citation Score: 224.41
- Similarity Product: 113.64403049468994

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

Dataset: test