Dmytro Kalpakchi

According to our database1, Dmytro Kalpakchi authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Article 
PhD thesis 
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Links

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Bibliography

2024
Quinductor: A multilingual data-driven method for generating reading-comprehension questions using Universal Dependencies.
Nat. Lang. Eng., 2024

2023
Ask and distract: Data-driven methods for the automatic generation of multiple-choice reading comprehension questions from Swedish texts ; Fråga och distrahera: Datadrivna metoder för automatisk generering av flervalsfrågor för att bedöma läsförståelse av svenska.
PhD thesis, 2023

EMBRACE: Evaluation and Modifications for Boosting RACE.
CoRR, 2023

SweCTRL-Mini: a data-transparent Transformer-based large language model for controllable text generation in Swedish.
CoRR, 2023

Quasi: a synthetic Question-Answering dataset in Swedish using GPT-3 and zero-shot learning.
Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023

2022
Automatically generating question-answer pairs for assessing basic reading comprehension in Swedish.
CoRR, 2022

Collecting Visually-Grounded Dialogue with A Game Of Sorts.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Textinator: an Internationalized Tool for Annotation and Human Evaluation in Natural Language Processing and Generation.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021
Minor changes make a difference: a case study on the consistency of UD-based dependency parsers.
CoRR, 2021

BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset.
Proceedings of the 14th International Conference on Natural Language Generation, 2021

2019
[Re] Learning to Learn By Self-Critique.
CoRR, 2019

SpaceRefNet: a neural approach to spatial reference resolution in a real city environment.
Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019


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