
В статье предлагается подход к задаче генерации учебных тестов, основанный на технологии извлечения знаний из естественно-языковых текстов. Рассматривается проблема семантического анализа обрабатываемых текстов.
УЧЕБНЫЕ ТЕСТЫ, ГЕНЕРАЦИЯ, ИЗВЛЕЧЕНИЕ ЗНАНИЙ, ЕСТЕСТВЕННО-ЯЗЫКОВЫЕ ТЕКСТЫ, СЕМАНТИКА
УЧЕБНЫЕ ТЕСТЫ, ГЕНЕРАЦИЯ, ИЗВЛЕЧЕНИЕ ЗНАНИЙ, ЕСТЕСТВЕННО-ЯЗЫКОВЫЕ ТЕКСТЫ, СЕМАНТИКА
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
