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Every seed question is a good comparison question itself.
This pair caused generation of eight new questions plus the original seed question.
This occurred because the restrictions generated from the seed question contained some uncommon predicates.
Thus, cell wall and plasma membrane is an example of a good seed question.
The generator found no new questions; it generated only the seed question.
This seed question led to few restrictions, which caused the output of too many pairs of concepts.
Similar(45)
Several seed questions will be discussed in turn.
Some seed questions generated far too many question schemas for a human author to check, and other seed questions generated too few candidates.
The variance could be due to the algorithm, the seed questions, and/or the knowledge base.
The algorithm generated an average of 842 questions per seed questions, and the standard deviation was very high: 1721.
We tried generating complex question schema using seed questions to infer the pattern of knowledge base relationships for the schema.
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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