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cs.CL2021
Minor changes make a difference: a case study on the consistency of UD-based dependency parsers
Dmytro Kalpakchi, Johan Boye
Many downstream applications are using dependency trees, and are thus relying on dependency parsers producing correct, or at least consistent, output. However, dependency parsers a…
cs.CL2021★ 1 cited
BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset
Dmytro Kalpakchi, Johan Boye
An important part when constructing multiple-choice questions (MCQs) for reading comprehension assessment are the distractors, the incorrect but preferably plausible answer options…
cs.CL2021★ 1 cited
Quinductor: a multilingual data-driven method for generating reading-comprehension questions using Universal Dependencies
Dmytro Kalpakchi, Johan Boye
We propose a multilingual data-driven method for generating reading comprehension questions using dependency trees. Our method provides a strong, mostly deterministic, and inexpens…