PATENT CLAIM ANALYSIS

Application Number: 16185843
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-10
Patent Classification: ["704", "009000"]

Abstract:
Methods, apparatuses and computer readable medium are presented for generating a natural language model. A method for generating a natural language model comprises: receiving more than one annotation of a document; calculating a level of agreement among the received annotations; determining that a criterion among a first criterion, a second criterion, and a third criterion is satisfied based at least in part on the level of agreement; determining an aggregated annotation representing an aggregation of information in the received annotations and training a natural language model using the aggregated annotation, when the first criterion is satisfied; generating at least one human readable prompt configured to receive additional annotations of the document, when the second criterion is satisfied; and discarding the received annotations from use in training the natural language model, when the third criterion is satisfied.

Claim (Index 6):
The method of  claim 5 , wherein:\n the first criterion is satisfied when the number of annotations received is at least a minimum number and the level of agreement for a category is at least a threshold level; and the aggregated annotation is determined as selecting or not selecting said category.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 98.0
- Lexical Diversity: 2.27273
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14964517', '14964512', '11620189', '14705899', '14553028']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2966895962624096
- 35 USC 102 Novelty (BERT): 0.5189120143648249
- Combined Prediction Score: 0.3189118380726511
- Mean Citation Score: 231.764764
- Max Citation Score: 299.79715
- Similarity Product: 185.1652341090769

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