Amazon Technologies, Inc.

Borui Zhang

Parminder Bhatia

Varun Sembium Varadarajan

Mohammed Khalilia

Thiruvarul Selvan Senthivel

Arun Kumar Ravi

Emine Busra Celikkaya

Tiberiu Mircea Doman

Techniques for entity and relationship detect from unstructured text as a service are described. A service may receive a request to identify entities within a provided unstructured text element, 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. The service may send additional requests to an additional service or services implementing additional deep machine learning models to identify relationships between detected attributes and ones of the detected entities. The outputs from all services can be analyzed and consolidated into a single result that identifies the entities, any attributes of the entities, and confidence scores indicating the confidence in each detected entity.

Service architecture for entity and relationship detection in unstructured text

Growing community of inventors

Seattle, WA, United States of America

Borui Zhang