Past research on cloze tests and distractor generation

• Jiang & Lee (2017). Distractor Generation for Chinese Fill-in-the-blank Items. Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, pp. 143–148
• Lee et al. (2016). A CALL System for Learning Preposition Usage. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pp. 984–993
• Wojatzki et al. (2016). Bundled Gap Filling: A New Paradigm for Unambiguous Cloze Exercises. Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, pp. 172–181
• Knowles et al. (2016). Analyzing Learner Understanding of Novel L2 Vocabulary. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL), pp. 126–135
• Araki et al. (2016). Generating Questions and Multiple-Choice Answers using Semantic Analysis of Texts. Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pp. 1125–1136
• Majumder & Saha (2015). A System for Generating Multiple Choice Questions: With a Novel Approach for Sentence Selection. Proceedings of The 2nd Workshop on Natural Language Processing Techniques for Educational Applications, pp. 64–72
• Chen et al. (2015). Interactive Second Language Learning from News Websites. Proceedings of The 2nd Workshop on Natural Language Processing Techniques for Educational Applications, pp. 34–42
• Sakaguchi et al. (2013). Discriminative Approach to Fill-in-the-Blank Quiz Generation for Language Learners. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pp. 238–242
• Narendra et al. (2013). Automatic Cloze-Questions Generation. Proceedings of Recent Advances in Natural Language Processing, pp. 511–515
• Skalban et al. (2012). Automatic question generation in multimedia-based learning. Proceedings of COLING 2012: Posters, pp. 1151–1160
• Skory & Eskenazi (2010). Predicting Cloze Task Quality for Vocabulary Training. Proceedings of the NAACL HLT 2010 Fifth Workshop on Innovative Use of NLP for Building Educational Applications, pp. 49–56
• Goto et al. (2009). An Automatic Generation of Multiple-choice Cloze Questions Based on Statistical Learning. Proceedings of the 17th International Conference on Computers in Education, pp. 415-422
• Papasalouros et al. (2008). Automatic Generation of Multiple Choice Questions from Domain Ontologies. In Proceedings of IADIS International Conference e-Learning
• Hoshino et al. (2008). A Framework for Automatic Generation of Grammar and Vocabulary Questions.
• Lee & Seneff (2007). Automatic Generation of Cloze Items for Prepositions. INTERSPEECH 2007, pp. 2173-2176
• Lin et al. (2007). An Automatic Multiple-Choice Question Generation Scheme for English Adjective Understanding. ICCE 2007 Workshop Proc. of Modeling, Management and Generation of Problems / Questions in eLearning, pp. 137-142
• Aldabe et al. (2007). Automatic acquisition of didactic resources: generating test-based questions. Proceeding of SINTICE 07 (Simposio Nacional de Tecnologías de la Información y las Comunicaciones en la Educación), pp. 105-111
• Karamanis et al. (2006). Generating Multiple-Choice Test Items from Medical Text: A Pilot Study. Proceedings of the Fourth International Natural Language Generation Conference, pp. 111–113
• Mitkov et al. (2006). A computer-aided environment for generating multiple-choice test items. Natural Language Engineering, 12, pp. 177-194
• Chen et al. (2006). FAST – An Automatic Generation System for Grammar Tests. Proceedings of the COLING/ACL 2006 Interactive Presentation Sessions, pp. 1–4
• Sumita et al. (2005). Measuring Non-native Speakers’ Proficiency of English by Using a Test with Automatically-Generated Fill-in-the-Blank Questions. Proceedings of the 2nd Workshop on Building Educational Applications Using NLP, pp. 61–68
• Liu et al. (2005). Applications of Lexical Information for Algorithmically Composing Multiple-Choice Cloze Items. Proceedings of the 2nd Workshop on Building Educational Applications Using NLP, pp. 1–8
• Brown et al. (2005). Automatic Question Generation for Vocabulary Assessment. Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP), pp. 819–826
• Hoshino & Nakagawa (2005). WebExperimenter for multiple-choice question generation. Proceedings of HLT/EMNLP 2005 Demonstration Abstracts, pp. 18–19
• Hoshino & Nakagawa (2005). A real-time multiple-choice question generation for language testing – a preliminary study. Proceedings of the 2nd Workshop on Building Educational Applications Using NLP, pp. 17–20
• Mitkov & Ha (2003). Computer-aided generation of multiple-choice tests. In Proceedings of the HLT-NAACL 2003 Workshop on Building Educational Applications Using Natural Language Processing, pp. 17–22
• Kunichika et al. (2002). A Computational Method of Complexity of Questions on Contents of English Sentences and its Evaluation. Proceedings of the International Conference on Computers in Education (ICCE’02)
• Shei (2001). FollowYou!: An Automatic Language Lesson Generation System. Computer Assisted Language Learning 2001, Vol. 14, No. 2, pp. 129-144
• Coniam (1997). A preliminary inquiry into using corpus word frequency data in the automatic generation of English language cloze tests. Calico Journal 14 (2-4), pp. 15-33