PATENT CLAIM ANALYSIS

Application Number: 16048377
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["706", "047000"]

Abstract:
Systems and methods for incremental annotation of datasets are provided. For example, a group of labeled examples and a group of unlabeled examples may be obtained, a first inference model may be generated using the group of labeled examples, labels may be assigned to at least part of the group of unlabeled examples using the first inference model, confidence levels may be assigned to the assigned labels, a subset of the group of unlabeled examples may be selected using the confidence levels, and in some cases a second inference model may be generated using the selected subset and/or the corresponding assigned labels.

Claim (Index 19):
The method of  claim 9 , further comprising:\n until at least a selected number of the plurality of unlabeled examples are included in at least one selected subset, repeating the following steps:\n using the second inference model to update at least part of the assigned labels; \n recalculating at least part of the confidence levels based on the assigned labels; \n based on the confidence levels, selecting a subset of the plurality of unlabeled examples; and \n updating the second inference model based on at least part of the selected subsets.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 95.0
- Lexical Diversity: 2.5
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16048385', '12080414', '15644231', '11638732', '15646563']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3192132925244194
- 35 USC 102 Novelty (BERT): 0.5094805441921393
- Combined Prediction Score: 0.3382400176911914
- Mean Citation Score: 190.49190600000003
- Max Citation Score: 257.9705
- Similarity Product: 172.86242721968893

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test