Fact-based knowledge-domain-specific quality review of ai-generated content
AssigneeMicrosoft Technology Licensing, LLC
InventorsMehmet Mertz ÖZ, Simeon KREDATUS, Rachel WITIES, Aaron Toby BORNSTEIN, Raimund FISCHER, Ksenya KVELER
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Abstract
A system may extract first input entities corresponding to a knowledge domain from input data and first output entities corresponding to the knowledge domain from output data, wherein a set of first entities includes one or more of the first input entities or the first output entities. The system may map at least some of the first input entities to at least some of the first output entities. The system may output the set of first entities indicating a mapping status for each of the set of first entities.
Claims20
A method of processing output data generated by an artificial intelligence model from input data, wherein the output data and the input data are associated with a knowledge domain, the method comprising:
- extracting first input entities corresponding to the knowledge domain from the input data and first output entities corresponding to the knowledge domain from the output data, wherein a set of first entities includes one or more of the first input entities or the first output entities;
- mapping at least some of the first input entities to at least some of the first output entities;
- and
- outputting the set of first entities indicating a mapping status for each of the set of first entities.
A system for processing output data generated by an artificial intelligence model from input data, wherein the output data and the input data are associated with a knowledge domain, the system comprising:
- one or more hardware processors;
- a memory;
- an entity extractor storable in the memory, executable by the one or more hardware processors, and configured to perform operations comprising:
- extracting first input entities corresponding to the knowledge domain from the input data and first output entities corresponding to the knowledge domain from the output data, wherein a set of first entities includes one or more of the first input entities or the first output entities;
- and
- mapping at least some of the first input entities to at least some of the first output entities;
- and
- a corrective feedback solicitor storable in the memory, executable by the one or more hardware processors, and configured to perform operations comprising outputting the set of first entities indicating a mapping status for each of the set of first entities.
One or more tangible processor-readable storage media embodied with instructions for executing on one or more processors and circuits of a computing device a process for processing output data generated by an artificial intelligence model from input data, wherein the output data and the input data are associated with a knowledge domain, the process comprising:
- extracting first input entities corresponding to the knowledge domain from the input data and first output entities corresponding to the knowledge domain from the output data, wherein a set of first entities includes one or more of the first input entities or the first output entities;
- mapping at least some of the first input entities to at least some of the first output entities;
- ;
- and
- outputting the set of first entities indicating a mapping status for each of the set of first entities.
Dependencies are inferred from the claim text.