公开(公告)号：US11487942B1

公开(公告)日：2022-11-01

申请号：US16437338

申请日：2019-06-11

Applicant: Amazon Technologies, Inc.

Inventor： Thiruvarul Selvan Senthivel ,  Varun Sembium Varadarajan ,  Borui Zhang ,  Tiberiu Mircea Doman ,  Parminder Bhatia ,  Arun Kumar Ravi ,  Mohammed Khalilia ,  Emine Busra Celikkaya

IPC: G06F16/93 ,  G06F40/30 ,  G06F40/295 ,  G06F16/28 ,  G06F16/31 ,  G06N3/04 ,  G06N3/08 ,  G06F40/284

Abstract: 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.