Invention Grant
- Patent Title: Question answering system-based generation of distractors using machine learning
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Application No.: US14672286Application Date: 2015-03-30
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Publication No.: US09684876B2Publication Date: 2017-06-20
- Inventor: Lalit Agarwalla , Ashish Mungi , Joy Mustafi , Ankur Parikh
- 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 David Zwick
- Main IPC: G09B3/00
- IPC: G09B3/00 ; G06N99/00 ; G09B7/06 ; G06F17/27 ; G06F17/30
Abstract:
Generating distractors for text-based MCT items. An MCT item stem is received. The stem is transmitted to a QA system and a plurality of candidate answers related to the stem is received from the QA system. Incorrect answers in the plurality of candidate answers are identified. Textual features are extracted from the stem. A set of semantic criteria associated with the extracted textual features is generated. Based on the generated semantic criteria, a subset of the incorrect candidate answers is selected.
Public/Granted literature
- US20160293034A1 QUESTION ANSWERING SYSTEM-BASED GENERATION OF DISTRACTORS USING MACHINE LEARNING Public/Granted day:2016-10-06
Information query
