PATENT CLAIM ANALYSIS

Application Number: 15917022
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["704", "009000"]

Abstract:
Computerized methods are disclosed for automated question generation from source documents through natural language processing, for applications including training and testing. Interleaved selection and transformation phases employ combined semantic-syntactic analysis to progressively refine natural input text into a high density of text fragments having high content value. Non-local semantic content and attributes such as emphasis attributes can be attached to the text fragments. The text fragments are reverse parsed by matching against a precomputed library of combined semantic-syntactic patterns. Once the patterns of each fragment are determined, transformation of fragments into question-answer pairs is performed using question selectors and answer selectors tailored to each pattern. Methods for constructing distractors, both internal and external, are also disclosed. The ecosystem of machine learning components, ontology resources, and process improvement are also described.

Claim (Index 2):
The method of  claim 1 , wherein the first criterion is that, to be selected, a given passage of text has a similarity greater than or equal to a content relevance threshold, relative to at least one subject matter descriptor of the source document.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 1.55435
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14577642', '12723449', '12200962', '14900758', '13012514']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2858848896873727
- 35 USC 102 Novelty (BERT): 0.495645609562891
- Combined Prediction Score: 0.3068609616749245
- Mean Citation Score: 210.59594
- Max Citation Score: 226.16975
- Similarity Product: 155.93357572564483

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