JOURNAL ARTICLE
WebExperimenter for multiple-choice question generation
Abstract
Automatic generation of multiple-choice questions is an emerging topic in application of natural language processing. Particularly, applying it to language testing has been proved to be useful (Sumita et al., 2005).
Keywords:
Computer science Natural language generation Natural language processing Natural language Multiple choice Artificial intelligence Linguistics
Metrics
9
Cited By
0.00
FWCI (Field Weighted Citation Impact)
3
Refs
0.13
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Educational Technology and Assessment
Physical Sciences → Computer Science → Information Systems
Natural Language Processing Techniques
Physical Sciences → Computer Science → Artificial Intelligence
Speech and dialogue systems
Physical Sciences → Computer Science → Artificial Intelligence
Related Documents
BOOK-CHAPTER
Leaf: Multiple-Choice Question Generation
Kristiyan VachevMomchil HardalovGeorgi KaradzhovGeorgi GeorgievIvan KoychevPreslav Nakov
Lecture notes in computer science Year: 2022 Pages: 321-328
JOURNAL ARTICLE
Ontology-Based Multiple Choice Question Generation
Journal: The Scientific World JOURNAL Year: 2014 Vol: 2014 Pages: 1-9
JOURNAL ARTICLE
Ontology-Based Multiple Choice Question Generation
Tahani AlsubaitBijan ParsiaUlrike Sattler
Journal: KI - Künstliche Intelligenz Year: 2015 Vol: 30 (2)Pages: 183-188
BOOK-CHAPTER
Question Guru: An Automated Multiple-Choice Question Generation System
Abdul Rehman GilalAhmad WaqasBandeh Ali TalpurRizwan Ali AbroJafreezal JaafarZaira Hassan Amur
Lecture notes in networks and systems Year: 2022 Pages: 501-514