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Dmytro Kalpakchi
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2020 – today
- 2024
- [j1]Dmytro Kalpakchi
, Johan Boye:
Quinductor: A multilingual data-driven method for generating reading-comprehension questions using Universal Dependencies. Nat. Lang. Eng. 30(2): 217-255 (2024) - 2023
- [b1]Dmytro Kalpakchi:
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. Royal Institute of Technology, Stockholm, Sweden, 2023 - [c5]Dmytro Kalpakchi, Johan Boye:
Quasi: a synthetic Question-Answering dataset in Swedish using GPT-3 and zero-shot learning. NoDaLiDa 2023: 477-491 - [i8]Dmytro Kalpakchi, Johan Boye:
SweCTRL-Mini: a data-transparent Transformer-based large language model for controllable text generation in Swedish. CoRR abs/2304.13994 (2023) - [i7]Mariia Zyrianova, Dmytro Kalpakchi, Johan Boye:
EMBRACE: Evaluation and Modifications for Boosting RACE. CoRR abs/2305.08433 (2023) - [i6]Bram Willemsen, Dmytro Kalpakchi
, Gabriel Skantze:
Collecting Visually-Grounded Dialogue with A Game Of Sorts. CoRR abs/2309.05162 (2023) - 2022
- [c4]Dmytro Kalpakchi, Johan Boye:
Textinator: an Internationalized Tool for Annotation and Human Evaluation in Natural Language Processing and Generation. LREC 2022: 856-866 - [c3]Bram Willemsen, Dmytro Kalpakchi, Gabriel Skantze:
Collecting Visually-Grounded Dialogue with A Game Of Sorts. LREC 2022: 2257-2268 - [i5]Dmytro Kalpakchi
, Johan Boye:
Automatically generating question-answer pairs for assessing basic reading comprehension in Swedish. CoRR abs/2211.15568 (2022) - 2021
- [c2]Dmytro Kalpakchi, Johan Boye:
BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset. INLG 2021: 387-403 - [i4]Dmytro Kalpakchi, Johan Boye:
Quinductor: a multilingual data-driven method for generating reading-comprehension questions using Universal Dependencies. CoRR abs/2103.10121 (2021) - [i3]Dmytro Kalpakchi, Johan Boye:
BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset. CoRR abs/2108.03973 (2021) - [i2]Dmytro Kalpakchi, Johan Boye:
Minor changes make a difference: a case study on the consistency of UD-based dependency parsers. CoRR abs/2111.15413 (2021)
2010 – 2019
- 2019
- [c1]Dmytro Kalpakchi, Johan Boye:
SpaceRefNet: a neural approach to spatial reference resolution in a real city environment. SIGdial 2019: 422-431 - [i1]Isac Arnekvist, Dmytro Kalpakchi:
[Re] Learning to Learn By Self-Critique. CoRR abs/1912.00183 (2019)
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last updated on 2024-08-05 21:24 CEST by the dblp team
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