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 7):
The apparatus of  claim 1  wherein the selected at least one candidate data structure comprises a plurality of selected candidate data structures; and\n wherein the processor is further configured to automatically render the narrative story natural language text for display based at least in part on (1) the selected candidate data structures and (2) at least one of (i) data within the structured data set and (ii) data within the computed derived features such that the rendered narrative story natural language text describes the structured data set in accordance with 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): 0.3034475903298101
- 35 USC 102 Novelty (BERT): 0.5436807504372392
- Combined Prediction Score: 0.327470906340553
- Mean Citation Score: 362.003678
- Max Citation Score: 385.81033
- Similarity Product: 310.02725199245634

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