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 16):
A computer program product for automatically generating a narrative story about a structured data set, the narrative story comprising natural language text arranged in a narrative format, the computer program product comprising:\n a plurality of computer executable instructions resident on a non-transitory computer-readable storage medium, the instructions, when executed by a computing device, configured to cause the computing device to:\n access a plurality of data structures in a memory, each of a plurality of the data structures being representative of a characterization of data and having an associated applicability condition, the associated applicability condition for testing against data within or derived from the structured data set to support a determination as to whether the representative characterization for the applicability condition's associated data structure is an accurate characterization of the structured data set; \n compute a plurality of derived features from the structured data set; \n test data against a plurality of the applicability conditions for a plurality of the accessed data structures, wherein the tested data comprises at least one of (1) data within the structured data set and (2) data within the computed derived features; \n in response to the tests, (1) determine that a plurality of the data structures are candidate data structures that accurately characterize the structured data set, and (2) filter the candidate data structures to select at least one of the candidate data structures; and \n automatically render the narrative story natural language text for display based at least in part on (1) the selected at least one candidate data structure 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 at least one characterization represented by the selected at least one candidate data structure.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 94.0
- Lexical Diversity: 1.96226
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15664414', '15211902', '13738609', '15011743', '12779683']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.277418392577238
- 35 USC 102 Novelty (BERT): 0.5429047945693692
- Combined Prediction Score: 0.3039670327764511
- Mean Citation Score: 362.003678
- Max Citation Score: 385.81033
- Similarity Product: 364.1958932690823

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