Invention Grant
- Patent Title: Predicting intent of a user from anomalous profile data
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Application No.: US15884887Application Date: 2018-01-31
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Publication No.: US10430447B2Publication Date: 2019-10-01
- Inventor: Mustafa Canim , Robert G. Farrell , John A. Gunnels , Arun K. Iyengar
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Stephen J. Walder, Jr.; Diana R. Gerhardt
- Main IPC: G06F16/332
- IPC: G06F16/332 ; G10L15/26 ; G10L15/16 ; H04L29/08 ; G10L15/18

Abstract:
Mechanisms are provided for conducting a natural language dialog between the automatic dialog system and a user of a client computing device. An automatic dialog system receives natural language text corresponding to a user input from the user via the client computing device, the natural language text having an ambiguous portion of natural language text. The automatic dialog system analyzes user profile information corresponding to the user to identify an anomaly in the user profile information and predicts a user intent associated with the anomaly. The automatic dialog system disambiguates the ambiguous portion of the natural language text based on the predicted user intent and generates a response to the user input based on the disambiguated natural language text which is output to the client computing device to thereby conduct the natural language dialog.
Public/Granted literature
- US20190236204A1 Predicting Intent of a User from Anomalous Profile Data Public/Granted day:2019-08-01
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