Invention Grant
- Patent Title: Automatic identification of retraining data in a classifier-based dialogue system
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Application No.: US15814473Application Date: 2017-11-16
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Publication No.: US10372737B2Publication Date: 2019-08-06
- Inventor: Allen Ginsberg , Edward G. Katz , Alexander C. Tonetti
- 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 Robert D. Bean
- Main IPC: G06F16/332
- IPC: G06F16/332 ; G10L15/18 ; G10L15/22 ; G10L15/183 ; G10L15/06

Abstract:
According to one embodiment, a method, computer system, and computer program product for retraining a classifier-based automatic dialog system with recorded user interactions is provided. The present invention may include receiving recorded interactions, where the interactions are between a user and an automatic dialog system; determining, based on the recorded interactions, whether to pair a given input with one or more classes; pairing inputs with one or more classes; assessing the reliability of the paired inputs and classes; determining whether the reliable paired inputs and classes can be consistently mapped; and merging all consistently mapped reliable pairs with an initial training set.
Public/Granted literature
- US20190147099A1 AUTOMATIC IDENTIFICATION OF RETRAINING DATA IN A CLASSIFIER-BASED DIALOGUE SYSTEM Public/Granted day:2019-05-16
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