TENANT SPECIFIC AND GLOBAL PRETAGGING FOR NATURAL LANGUAGE QUERIES

A database system may receive a natural language query that is associated with a tenant of a multi-tenant system. The natural language query may be parsed into a set of tokens, and the set of tokens may be tagged, using a tenant specific tagging model associated with the tenant, the set of tokens wi...

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Bibliographische Detailangaben
Hauptverfasser:	Brette, Marc, Brazouskaya, Darya, Shi, Qianqian, Kempf, Guillaume Jean Mathieu, Srikantan, Arvind, Rodriguez, Mario Sergio, Borges, Francisco Dellatorre, Landos, Matthieu Michel Robin, Balikas, Georgios
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
Online-Zugang:	Volltext bestellen
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Beschreibung
Zusammenfassung:	A database system may receive a natural language query that is associated with a tenant of a multi-tenant system. The natural language query may be parsed into a set of tokens, and the set of tokens may be tagged, using a tenant specific tagging model associated with the tenant, the set of tokens with at least one pre-configured data type identifier that is configured for the plurality of tenants. A global tagging model that supports the plurality of tenants of the multi-tenant system may tag the set of tokens with at least one category identifier. The global tagging model may use the natural language query and the pre-configured data type identifier to identify the at least one category identifier. The system may execute a database query on a database associated with the tenant using the at least one pre-configured data type identifier and the at least one category identifier.