Invention Grant
- Patent Title: Evaluating user responses based on bootstrapped knowledge acquisition from a limited knowledge domain
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Application No.: US16266676Application Date: 2019-02-04
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Publication No.: US10832591B2Publication Date: 2020-11-10
- Inventor: Donna K. Byron , Benjamin L. Johnson , Dan G. Tecuci
- 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.; Feb R. Cabrasawan
- Main IPC: A63F9/24
- IPC: A63F9/24 ; G09B19/00 ; G06N5/02 ; G09B7/02 ; G09B5/02 ; G06N20/00

Abstract:
Mechanisms for training a human user to perform an operation and provided. The mechanisms generate a domain specific knowledge base comprising a set of entities and corresponding domain specific attributes and expand the domain specific knowledge base to include values for the domain specific attributes through an automated bootstrap learning process that performs natural language processing and analysis of natural language content using a set of pre-condition annotated action terms, thereby generating an expanded domain specific knowledge base. The mechanisms evaluate an input from another device identifying an action associated with an entity in the set of entities, based on a retrieved domain specific attribute value and the retrieved pre-condition annotation from the expanded domain specific knowledge base. The mechanisms output a notification to a user computing device indicating whether the input is correct or incorrect to thereby train a user associated with the user computing device.
Public/Granted literature
- US20190180643A1 Evaluating User Responses Based on Bootstrapped Knowledge Acquisition from a Limited Knowledge Domain Public/Granted day:2019-06-13
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