AUTOMATICALLY RECTIFYING IN REAL-TIME ANOMALIES IN NATURAL LANGUAGE PROCESSING SYSTEMS

AUTOMATICALLY RECTIFYING IN REAL-TIME ANOMALIES IN NATURAL LANGUAGE PROCESSING SYSTEMS

A method for automatically rectifying in real-time anomalies in natural language processing systems. The method can include determining an output corresponding to a user request from a user device for a user based on a new request template or machine learning. The method further can include retrievi...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Chen, Haoxuan, Subramanya, Shankara Bhargava, Mukherjee, Snehasish, Sayapaneni, Phani Ram
Format: Patent
Sprache:eng
Schlagworte:
ACOUSTICS
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
MUSICAL INSTRUMENTS
PHYSICS
SPEECH ANALYSIS OR SYNTHESIS
SPEECH OR AUDIO CODING OR DECODING
SPEECH OR VOICE PROCESSING
SPEECH RECOGNITION
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Beschreibung
Zusammenfassung:A method for automatically rectifying in real-time anomalies in natural language processing systems. The method can include determining an output corresponding to a user request from a user device for a user based on a new request template or machine learning. The method further can include retrieving one or more entity rules corresponding to entity data of the user request. The method also can include overwriting entity information of the entity data corresponding to the one or more entity rules. Additionally, the method can include outputting the output. Furthermore, the method can include transmitting, to the user device, a response to the user. Other embodiments are disclosed.