CUSTOMIZED MODELS FOR ON-DEVICE PROCESSING WORKFLOWS

Examples described herein include systems and methods for implementing customized, on-device processing workflows. An example method can include training different natural language processing ("NLP") models using distinct datasets relevant to different backend systems. The different NLP mo...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Chawla, Ravish, Xuan, Chaoting, Tse, Kar-Fai
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	Examples described herein include systems and methods for implementing customized, on-device processing workflows. An example method can include training different natural language processing ("NLP") models using distinct datasets relevant to different backend systems. The different NLP models can be assigned to user devices based on each device user's organizational group. The user devices can implement the customized NLP models to detect triggers within text of an application. Based on the detected trigger, the application can display a user interface element having a selectable actionable button for carrying out an action with respect to the backend system. In some examples, the detected trigger can automatically cause an action to be carried out with respect to the backend system.