The phrase "ambiguity relevance" is not standard in written English and may cause confusion.
It could be used in contexts discussing the importance or significance of ambiguity in a particular situation or analysis.
Example: "In our discussion of the text, we must consider the ambiguity relevance to fully understand the author's intent."
Alternatives: "importance of ambiguity" or "significance of ambiguity".
The questions reported with clarity, ambiguity, relevance and format issues resulted in low efficiency and failed authentication, which also affected the effectiveness of the PBAF method.
In order to compare questions produced by different question generation teams, Rus et al. (2010) identified five criteria for humans to use in judging the quality of questions: syntactic correctness, ambiguity, relevance, question type, and variety.
Question design has a measurable effect on the overall usability and security of the PBAF approach, which needs particular consideration to address clarity, ambiguity, relevance, subjective, and objective information.
We can probably ignore the conflict about fluency, ambiguity, and relevance because those are not the main measures of interest.
Concluding this section, we can say that question design needs particular consideration to address clarity, ambiguity and relevance to target users.
The purpose of this was to test for ambiguity, the relevance of the questions, and the difficulties in answering them.
Even here, however, Slater keeps the ambiguity alive, questioning the relevance of the research for the human condition.
These span ambiguity over the cognitive relevance of resting-state networks, how to characterize task-evoked and spontaneous network dynamics, how to identify directed or "effective" connections, and how to apply multivariate pattern analysis at the network level.
Human students rated questions for their relevance, fluency, ambiguity, pedagogy, and depth.
If the goal of generating a question is to enhance students' learning, is relevance, fluency, ambiguity, or depth of the question going to affect the pedagogy?
Zhang and VanLehn (2016) compared questions generated by their methods to human-made questions from textbooks by asking students to rate the questions for their relevance, fluency, ambiguity, pedagogy, and depth.
