Feature-rich part-of-speech tagging with a cyclic dependency network
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Automatic question generation for vocabulary assessment
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Can a Computer Listen for Fluctuations in Reading Comprehension?
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Applications of lexical information for algorithmically composing multiple-choice cloze items
EdAppsNLP 05 Proceedings of the second workshop on Building Educational Applications Using NLP
EdAppsNLP 05 Proceedings of the second workshop on Building Educational Applications Using NLP
A Study on the Automatic Selection of Candidate Sentences Distractors
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Classifier combination for contextual idiom detection without labelled data
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Topic models for word sense disambiguation and token-based idiom detection
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Automatic distractor generation for domain specific texts
IceTAL'10 Proceedings of the 7th international conference on Advances in natural language processing
Toward exploiting EEG input in a reading tutor
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Better student assessing by finding difficulty factors in a fully automated comprehension measure
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Toward unobtrusive measurement of reading comprehension using low-cost EEG
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
Toward Exploiting EEG Input in a Reading Tutor
International Journal of Artificial Intelligence in Education - Best of AIED 2011
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This paper describes and evaluates DQGen, which automatically generates multiple choice cloze questions to test a child's comprehension while reading a given text. Unlike previous methods, it generates different types of distracters designed to diagnose different types of comprehension failure, and tests comprehension not only of an individual sentence but of the context that precedes it. We evaluate the quality of the overall questions and the individual distracters, according to 8 human judges blind to the correct answers and intended distracter types. The results, errors, and judges' comments reveal limitations and suggest how to address some of them.