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18385358. Automatically Labeling Items using a Machine-Trained Language Model (Microsoft Technology Licensing, LLC)

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Automatically Labeling Items using a Machine-Trained Language Model

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Daniel Arthur Sommerfield of Mercer Island WA US

Weizhu Chen of Kirkland WA US

Adarsh Ramanathan of Bellevue WA US

Automatically Labeling Items using a Machine-Trained Language Model

This abstract first appeared for US patent application 18385358 titled 'Automatically Labeling Items using a Machine-Trained Language Model

Original Abstract Submitted

A computer-implemented labeling technique generates a task description that describes a labeling task to be given to a language model. The technique then sends a prompt to the language model, which includes the task description and a particular item to be labeled. The technique receives a response provided by the language model in response to the prompt, which specifies a class assigned by the language model to the item. In some implementations, the task description specifies a group of suggested classes to be used in classifying the particular item. The task description also invites the language model to specify another class upon a finding that none of the group of suggested classes applies to the item. The technique also allows a user to stop and restart a labeling run at any point in the labeling run. Other aspects of the technique include consensus processing and weight updating.

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