Optum, Inc.

Ravi Kondadadi

Rick A Hamilton, Ii

Stephen G Graham

Dmitry Rekesh

Christopher C Dozier

Adam Russell

Ayush Tomar

Somadev Pasala

Ramin Anushiravani

Hadi D Halim

Mark Chaudhary

Donald E Johnson, Jr

Robert K Rossmiller

Various embodiments of the present disclosure provide automated data compliance techniques for complex access controlled datasets subject to a plurality of data access constraints. Some of the techniques may include generating, using one or more natural language models, entity-relationship data for an access controlled dataset and generating a knowledge graph based on the entity-relationship data. The knowledge graph includes a plurality of vertices connected by a plurality of edges that may be traversed to identify a data access condition indicative of a data access violation or a data coverage violation. Some of the techniques may include generating, using the knowledge graph, a natural language condition description based on the data access condition and providing a condition alert indicative of the natural language condition description.

Graph-based data compliance using natural language text

Methods, apparatus, systems, computing devices, computing entities, and/or the like for a hybrid question-answering (QA) application are provided. The hybrid QA application includes both a retrieval QA application and a deep QA application, and uses feedback from the retrieval QA application to improve the deep QA application.

Method, apparatus and computer program product for improving deep question-answering (QA) applications using feedback from retrieval QA applications

Methods, apparatus, systems, computing devices, computing entities, and/or the like for a hybrid question-answering (QA) application are provided. The hybrid QA application includes both a retrieval QA application and a deep QA application, as well as a question classification model that determines whether the retrieval QA application or the deep QA application can generate a better answer to an input question.

Method, apparatus and computer program product for a hybrid question-answering (QA) system with a question classification model

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Minnetonka, MN, United States of America

Ravi Kondadadi