mlsanityData to 14 Oct 2026

Quinductor: a multilingual data-driven method for generating reading-comprehension questions using Universal Dependencies

arXiv 2103.10121 ↗First posted 18 Mar 2021cs.CLcited by 3

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Abstract (arXiv)

We propose a multilingual data-driven method for generating reading comprehension questions using dependency trees. Our method provides a strong, mostly deterministic, and inexpensive-to-train baseline for less-resourced languages. While a language-specific corpus is still required, its size is nowhere near those required by modern neural question generation (QG) architectures. Our method surpasses QG baselines previously reported in the literature and shows a good performance in terms of human evaluation.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 18 of its 73 references that are in the map. First posted on arXiv 18 Mar 2021.

Builds on

18 of 73 references.

References · 18

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  9. 2017Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluationcited by 206
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  11. 2017Neural Question Generation from Text: A Preliminary Studycited by 78
  12. 2017Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generationcited by 61
6 more
  1. 2018Towards a Better Metric for Evaluating Question Generation Systemscited by 52
  2. 2018Improving Neural Question Generation using Answer Separationcited by 30
  3. 2017Variational Attention for Sequence-to-Sequence Modelscited by 29
  4. 2020Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Ordercited by 28
  5. 2019Cross-Lingual Training for Automatic Question Generationcited by 23
  6. 2019Learning to Generate Questions by Learning What not to Generatecited by 17

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Cited by year

Citing papers per year: 2021: 2; 2022: 1.

3 papers.

  1. 2021BERT-based distractor generation for Swedish reading comprehension questions using a small-scale datasetcited by 12
  2. 2021Minor changes make a difference: a case study on the consistency of UD-based dependency parserscited by 2
  3. 2022Automatically generating question-answer pairs for assessing basic reading comprehension in Swedishcited by 0