Generating and modifying ontologies for machine learning models
AssigneeThoughtTrace, Inc.
InventorJoel M. HRON, II
Life of this patent
Estimating the term…
Abstract
A method performed by a machine learning system that involves obtaining a first ontology that includes one or more labels. Each label is associated with a sample that includes text. The ML system is configured to use a particular label to retrieve one or more samples associated with the particular label. The method further involves receiving an identification of a label of a first ontology associated with a first machine learning model to share with a second ontology associated with a second machine learning model and sharing the label and the information with the second ontology. The method further involves training the second machine learning model using the shared information associated with the label.
Claims20
A method performed by a machine learning system comprising one or more processors, the method comprising:
- obtaining a first ontology, the first ontology including one or more labels, each label of the one or more labels being associated with a sample that includes text, wherein the machine learning system is configured to use a particular label of the one or more labels to retrieve one or more samples associated with the particular label;
- receiving an identification of a label of a first ontology associated with a first machine learning model to share with a second ontology associated with a second machine learning model, the label including information for training a model;
- sharing with the second ontology, the label and the information associated with the label;
- and
- training the second machine learning model using the shared information associated with the label.
A system comprising:
- a first ontology stored in a first computer readable medium, the first ontology including a first label and information associated with the first label, the information useful to train a first machine learning model to identify a category of information represented by the first label;
- a second ontology stored in a second computer readable medium, and a processor to run computer executable instructions to cause the processor to:
- generate a user interface, the user interface depicting a representation of the first ontology, and operable to share the first label and information associated with the first label with the second ontology whereby the second ontology includes the first label and information associated with the first label, the information useful to train a second machine learning model to identify the category of information represented by the first label.
A method performed by a machine learning system comprising one or more processors, the method comprising:
- obtaining a first ontology, the first ontology including one or more labels, each label of the one or more labels being associated with a sample that includes content, wherein the machine learning system is configured to use a particular label of the one or more labels to retrieve one or more samples associated with the particular label;
- receiving an identification of a label of a first ontology associated with a first machine learning model to share with a second ontology associated with a second machine learning model, the label including information for training a model;
- sharing with the second ontology, the label and the information associated with the label;
- and
- training the second machine learning model using the shared information associated with the label.
Dependencies are inferred from the claim text.