PATENT CLAIM ANALYSIS

Application Number: 16402787
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["706", "012000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media for performing machine learning tasks. One method includes receiving (i) a model input, and (ii) data identifying a first machine learning task to be performed on the model input to generate a first type of model output for the model input; augmenting the model input with an identifier for the first machine learning task to generate an augmented model input; and processing the augmented model input using a machine learning model. An exemplary system applying implicit bridging for machine learning tasks, as described in this specification, trains a machine learning model to perform certain types of machine learning tasks without requiring explicit training data for the certain types of machine learning tasks to be used during training.

Claim (Index 6):
The system of  claim 1 , wherein the plurality of machine learning tasks comprises translating an input text segment into a text segment in a target language.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.05714
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15491852', '15913064', '15976647', '14564138', '14684041']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.40556740007728
- 35 USC 102 Novelty (BERT): 0.4913003254078423
- Combined Prediction Score: 0.4141406926103362
- Mean Citation Score: 205.717726
- Max Citation Score: 212.3568
- Similarity Product: 145.5391507581711

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