COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Learning surface text patterns for a Question Answering system
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
An analysis of the AskMSR question-answering system
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Computer-aided generation of multiple-choice tests
HLT-NAACL-EDUC '03 Proceedings of the HLT-NAACL 03 workshop on Building educational applications using natural language processing - Volume 2
A computer-aided environment for generating multiple-choice test items
Natural Language Engineering
QuestionBank: creating a corpus of parse-annotated questions
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
FAST: an automatic generation system for grammar tests
COLING-ACL '06 Proceedings of the COLING/ACL on Interactive presentation sessions
WebExperimenter for multiple-choice question generation
HLT-Demo '05 Proceedings of HLT/EMNLP on Interactive Demonstrations
Genetic algorithms for data-driven web question answering
Evolutionary Computation
A real-time multiple-choice question generation for language testing: a preliminary study
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
Generating multiple-choice test items from medical text: a pilot study
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
Exploring linguistically-rich patterns for question generation
UCNLG+EVAL '11 Proceedings of the UCNLG+Eval: Language Generation and Evaluation Workshop
| Hi-index | 0.00 |
It is very likely that, at least once in their lifetime, everyone has answered a multiple-choice test. Multiple-choice tests are considered an effective technique for knowledge assessment, requiring a short response time and with the possibility of covering a broad set of topics. Nevertheless, when it comes to their creation, it can be a time-consuming and labour-intensive task. Here, the generation of multiple-choice tests aided by computer can reduce these drawbacks: to the human assessor is attributed the final task of approving or rejecting the generated test items, depending on their quality. In this paper we present THE-MENTOR, a system that employs a fully automatic approach to generate multiple-choice tests. In a first offline step, a set of lexico-syntactic patterns are bootstrapped by using several question/answer seed pairs and leveraging the redundancy of theWeb. Afterwards, in an online step, the patterns are used to select sentences in a text document from which answers can be extracted and the respective questions built. In the end, several filters are applied to discard low quality items and distractors are named entities that comply with the question category, extracted from the same text.