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The user study shows that QDLinker effectively bridges the semantic gap between the intent of a programming question and the content of software documentation.
So the idea came from this as a joke almost, like "I could answer your programming question for any number of dimensions".
The model was formulated as a linear programming question and applied to infer the yeast MAPK signalling pathways and the genetic regulatory pathways.
They were free to set either a programming question or a conceptual question and had to submit detailed answers to their generated questions.
Campos et al. [19] uses the criterion of text based matching to find a potential programming question for a user to answer.
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Through extensive experiments, results show that QDLinker effectively answers programming questions with direct links to software documentation.
Jeff Atwood, a software developer, author, and co-founder of the programming question-and-answer site Stack Overflow, acknowledged this when he urged readers of his blog in April to use Gmail's two-step verification option.
For instance, almost all visitors sent by search engines to Stack Overflow — a community of software developers raising and answering programming questions — are from Google.
This motivated us to make students to generate programming questions in pair.
The first screen involves answering a few programming questions, then they'll do a 15-minute technical phone call.
In this paper, we propose a novel deep-learning-to-answer framework, named QDLinker, for answering programming questions with software documentation.
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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