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"generating questions" is a correct and usable phrase in written English.
It can be used when discussing a process or activity of coming up with questions, or when giving instructions on how to create questions. For example: - "The first step in conducting an effective interview is generating questions that will elicit useful information from the interviewee." - "Let's begin the brainstorming session by generating questions related to our topic."
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Because the generation task required generating questions from given texts, relevance measured the match of the question to its source in the text.
The approach being proposed in this paper exploits the syntax-based question generation tool ARK for generating questions which are semantically related to a given discussion topic.
The results revealed that generating questions using different generation strategies (class, terminology, and property) appear to affect the question difficulty and discrimination obtained using the CTT and IRT.
Generating questions using a syntax-based question generation system.
More concretely, question generation also has obvious uses in education — automatically generating questions for students to answer based on course material.
The second contribution of this paper is to propose a question generation approach which makes use of semantic information available on WordNet and consists of the following steps: Generating questions using question templates Generating questions using a syntax-based question generation system.
The band is better at generating questions than answers.
The book leads naturally to generating questions and discussion.
Although solar drainback systems have been used for a long time, they are still generating questions regarding smooth functioning.
This may include generating questions to email the author(s), or it may involve designing follow-up studies.
Last year, in addition to the Huskies' missing the N.C.A.A. tournament, Calhoun missed seven games for unspecified medical reasons, generating questions about the stability of a program that appeared unsettled.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com