Patent ID: 11947571
Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. A method comprising:
storing a plurality of content items and a plurality of entity names;
storing a plurality of associations, each association associating a content item of the plurality of content items with one or more entity names of the plurality of entity names;
identifying a first subset of entity names of the one or more entity names associated with the content item that share one or more tokens with one or more tokens of the content item;
identifying one or more other entity names of the first subset that co-occur with an entity name in a plurality of documents less than a threshold;
for each particular entity name in the one or more other entity names, generating, based on each particular entity name and each corresponding content item, a negative training instance and adding the negative training instance to training data;

using one or more machine learning techniques to train a model based on the training data;
wherein the method is performed by one or more computing devices.