Sentence examples for in question generation from inspiring English sources

Despite the fact that the benefits of student question generation are well documented, most students do not take part in question generation exercises during their formal schooling and are not accustomed to authoring questions.

To elaborate, when students engage in question-generation, the opportunities this provides to record questions by themselves may direct their attention to the correct pronunciation of the target language.

Evaluation is an indispensable process in automatic question generation research so as to verify the quality of generated questions and to make them usable for real tests.

The second approach, which is also employed widely in several question generation systems, is template-based [4].

We explain the detailed method for controlling the item difficulty in the automatic question generation in the next section.

In the automatic question generation system used in this study, the website for the sources of the reading passage is decided before the system generates the questions.

Therefore, the sentence selection has been performing a pioneer role in automatic factual question generation task.

The following is a detailed explanation of how we implement these three factors in the automatic question generation system.

Unlike this previous research, the aim of the present study is to control item difficulty in the automatic question generation task.

Thus, we calculated similarity on a per-predicate basis and used the resulting vector of predicate-number pairs in the subsequent question generation algorithm.

This section describes our proposed method for controlling the item difficulty in the automatic vocabulary question generation system described in the previous section.