Interactive concept editing in computer-human interactive learning

A method comprising:

• accessing a machine learning model having one or more first representations of one or more first words associated with a particular concept;
• performing two or more training iterations, the two or more training iterations comprising:
• generating one or more second words using the machine learning model;
• outputting the one or more second words on a user interface;
• receiving user input directed to the user interface;
• and
• performing training of the machine learning model based at least on the user input, the training resulting in a trained machine learning model;
• and
• after the two or more training iterations, outputting the trained machine learning model.

A system comprising:

• one or more memory devices;
• and
• one or more processors configured to:
• access a machine learning model having one or more first representations of one or more first words associated with a particular concept;
• perform two or more training iterations, the two or more training iterations comprising:
• generating one or more second words using the machine learning model;
• outputting the one or more second words on a user interface;
• receiving user input directed to the user interface;
• and
• performing training of the machine learning model based at least on the user input, the training resulting in a trained machine learning model;
• and
• after the two or more training iterations, output the trained machine learning model.

One or more hardware computer-storage devices having embodied thereon computer-usable instructions that, when executed by at least one processor, cause performance of operations comprising:

• accessing a machine learning model having one or more first representations of one or more first words associated with a particular concept;
• performing two or more training iterations, the two or more training iterations comprising:
• generating one or more second words using the machine learning model;
• outputting the one or more second words on a user interface;
• receiving user input directed to the user interface;
• and
• performing training of the machine learning model based at least on the user input, the training resulting in a trained machine learning model;
• and
• after the two or more training iterations, outputting the trained machine learning model.