PATENT CLAIM ANALYSIS

Application Number: 15996715
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["704", "009000"]

Abstract:
A system and method for automatically generating a narrative story receives data and information pertaining to a domain event. The received data and information and/or one or more derived features are then used to identify a plurality of angles for the narrative story. The plurality of angles is then filtered, for example through use of parameters that specify a focus for the narrative story, length of the narrative story, etc. Points associated with the filtered plurality of angles are then assembled and the narrative story is rendered using the filtered plurality of angles and the assembled points.

Claim (Index 12):
The apparatus of  claim 11  wherein each of a plurality of the data structures is associated with an importance value; and\n wherein the processor is further configured to (1) determine an order for an expression of the characterizations represented by the selected candidate data structures within the narrative story based at least in part on the importance values associated with the selected candidate data structures, (2) perform the element selection for each of the selected candidate data structures to generate a plurality of the element list data structures, (3) generate an angle list data structure that represents the ordered data structures, (4) assemble the elements of the element list data structures based at least in part on the angle list data structure to generate an ordered element list data structure, and (5) render the narrative story natural language text for display based at least in part on the ordered element list data structure and an application of the elements from the ordered element list data structure to the invoked phrasal generation routine to thereby output and assemble a plurality of phrases in a natural language that describe the structured data set based on the points that support the characterizations represented by the selected candidate data structures.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 94.0
- Lexical Diversity: 1.96226
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15664414', '15211902', '13738609', '15011743', '12779683']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3028724666327299
- 35 USC 102 Novelty (BERT): 0.5442278101996103
- Combined Prediction Score: 0.3270080009894179
- Mean Citation Score: 362.003678
- Max Citation Score: 385.81033
- Similarity Product: 329.72576967912084

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