Invention Application
- Patent Title: NATURAL LANGUAGE BIAS DETECTION IN CONVERSATIONAL SYSTEM ENVIRONMENTS
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Application No.: US17324043Application Date: 2021-05-18
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Publication No.: US20220374604A1Publication Date: 2022-11-24
- Inventor: Gandhi Sivakumar , Naeem Altaf , Wesley M. Devine , Rizwan Dudekula
- 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
- Main IPC: G06F40/30
- IPC: G06F40/30 ; G06N20/00 ; G06F16/9032

Abstract:
A method, apparatus and computer program for detecting natural language (NL) bias by a conversational system is described. Embodiments of the invention determine an NL bias in a set of training questions used to train a machine learning model used by the conversational system to select a user intent. Other embodiments of the invention determine an NL bias in a user question received by the conversation system as compared to the set of training questions. The NL bias causes the machine learning to preferentially associate user queries to a user intent. In respective embodiments, the system takes a corrective action to adjust the NL bias of the training questions or the user question.
Public/Granted literature
- US12147768B2 Natural language bias detection in conversational system environments Public/Granted day:2024-11-19
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