Amazon Technologies, Inc.

Jeremy Douglas Fehr

Parminder Bhatia

Thiruvarul Selvan Senthivel

Arun Kumar Ravi

Emine Busra Celikkaya

Arjun Mukhopadhyay

Shyam Ramaswamy

Techniques for ontology linking of unstructured text as a service are described. A service may receive a request to link unstructured text to a standardized ontology, and the service may segment and tokenize the unstructured text and send the result to multiple services implementing multiple deep machine learning models trained to identify particular entities and one or more relationships between entities. The service may perform a search of the standardized ontology to identify a set of similar candidates from the standardized ontology for the detected entities and the one or more relationships, and then rank the set of similar candidates from the standardized ontology according to their similarity to the detected entities within the unstructured text. The output from the service may include a result identifying a highest ranked candidate of the set of similar candidates from the standardized ontology for the detected entities within the unstructured text.

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Seattle, WA, United States of America

Jeremy Douglas Fehr