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 18):
The method of  claim 9 , further comprising:\n removing the selected subset out of the plurality of unlabeled examples to obtain an updated plurality of unlabeled examples; using the second inference model to assign labels to at least part of the updated plurality of unlabeled examples; calculating confidence levels corresponding to the labels assigned using the second inference model; based on the confidence levels corresponding to the labels assigned using the second inference model, selecting a subset of the updated plurality of unlabeled examples; and generating a third inference model based on the plurality of labeled examples, the selected subset of the plurality of unlabeled examples, the selected subset of the updated plurality of unlabeled examples, and the labels assigned using the second inference model and corresponding to the selected subset of the updated plurality of unlabeled examples.

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): 0.3197976768805807
- 35 USC 102 Novelty (BERT): 0.5063345771173993
- Combined Prediction Score: 0.3384513669042626
- Mean Citation Score: 190.49190600000003
- Max Citation Score: 257.9705
- Similarity Product: 182.0328321408928

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

Dataset: test