- Patent Title: Machine learning based intent resolution for a digital assistant
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Application No.: US16438987Application Date: 2019-06-12
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Publication No.: US11113476B2Publication Date: 2021-09-07
- Inventor: Julian Seibel
- Applicant: SAP SE
- Applicant Address: DE Walldorf
- Assignee: SAP SE
- Current Assignee: SAP SE
- Current Assignee Address: DE Walldorf
- Agency: Sterne, Kessler, Goldstein & Fox P.L.L.C.
- Main IPC: G06F40/30
- IPC: G06F40/30 ; G06N20/00 ; G10L15/18 ; G10L15/22

Abstract:
Disclosed herein are system, method, and computer program product embodiments for training a machine learning model and using the machine learning model to determine an intent associated with an utterance. An embodiment operates by receiving an utterance, determining a first vector based on the received utterance, and determining a second vector based on the received utterance. A third vector is generated by concatenating the first vector and the second vector. The third vector is used to perform at least one of classifying, using a machine learning model, the utterance to determine the intent associated with the utterance or training the machine-learning model.
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