This paper describes a novel computer-aided procedure for generating multiple-choice test items from electronic documents. In addition to employing various Natural Language Processing techniques, including shallow parsing, automatic term extraction, sentence transformation and computing of semantic distance, the system makes use of language resources such as corpora and ontologies. It identifie...

background: multiple choice tests (mct), are widely known and applied as useful evaluation tests in the field of education especially in medical science. items on a multiple-choice test consist of a stem, which is followed by a correct answer as well as three to four distracters. items on a well-written multiple-choice test will have stems that are precise and clear, one answer that is clearly ...