PATENT CLAIM ANALYSIS

Application Number: 15885813
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["704", "009000"]

Abstract:
A personality model is created for a population and used as an input to a text generation system. Alternative texts are created based upon the emotional effect of the generated text. Certain words or phrases are “pinned” in the output, reducing the variability of the generated text so as to preserve required information content, and a number of tests provide input to a discriminator network so that proposed outputs both match an outside objective regarding the information content, emotional affect, and grammatical acceptability. A feedback loop provides new “ground truth” data points for refining the personality model and associated generated text.

Claim (Index 8):
A method of generating natural language, the method comprising:\n collecting representative text information attributable to one or more natural persons; preprocessing and tokenizing the representative text information; converting the tokenized text information into at least one corresponding input personality embedding, wherein the at least one corresponding input personality embedding indicates a relative expression of a plurality of mutually orthogonal personality traits of a quantitative personality model expressed in the representative text information; providing a text prompt and the at least one corresponding input personality embedding as inputs to a text prediction layer; sampling a maximum likelihood next token from the text prediction layer; outputting a natural language element corresponding to the maximum likelihood next token; and collecting the output natural language element into a generated text.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 88.0
- Lexical Diversity: 1.59155
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15885807', '15407713', '15815686', '15408526', '15147222']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2076760400428413
- 35 USC 102 Novelty (BERT): 0.5753039648530657
- Combined Prediction Score: 0.2444388325238638
- Mean Citation Score: 225.68741
- Max Citation Score: 475.27026
- Similarity Product: 380.9247331526184

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