Follow
Dmytro Kalpakchi
Dmytro Kalpakchi
Researcher
Verified email at textinator.dev
Title
Cited by
Cited by
Year
Towards novel organic high- superconductors: Data mining using density of states similarity search
RM Geilhufe, SS Borysov, D Kalpakchi, AV Balatsky
Physical Review Materials 2 (2), 024802, 2018
282018
BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset
D Kalpakchi, J Boye
arXiv preprint arXiv:2108.03973, 2021
192021
Quasi: a synthetic Question-Answering dataset in Swedish using GPT-3 and zero-shot learning
D Kalpakchi, J Boye
The 24th Nordic Conference on Computational Linguistics (NoDaLiDa 2023), 22 …, 2023
62023
Textinator: an internationalized tool for annotation and human evaluation in natural language processing and generation
D Kalpakchi, J Boye
Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022
62022
UDon2: a library for manipulating Universal Dependencies trees
D Kalpakchi, J Boye
Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020), 120-125, 2020
52020
Quinductor: a multilingual data-driven method for generating reading-comprehension questions using Universal Dependencies
D Kalpakchi, J Boye
Natural Language Engineering, 1-39, 2023
42023
SpaceRefNet: a neural approach to spatial reference resolution in a real city environment
D Kalpakchi, J Boye
Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue …, 2019
42019
Collecting Visually-Grounded Dialogue with A Game Of Sorts
B Willemsen, D Kalpakchi, G Skantze
arXiv preprint arXiv:2309.05162, 2023
32023
EMBRACE: Evaluation and Modifications for Boosting RACE
M Zyrianova, D Kalpakchi, J Boye
arXiv preprint arXiv:2305.08433, 2023
22023
Minor changes make a difference: a case study on the consistency of UD-based dependency parsers
D Kalpakchi, J Boye
arXiv preprint arXiv:2111.15413, 2021
22021
Automatically generating question-answer pairs for assessing basic reading comprehension in Swedish
D Kalpakchi, J Boye
arXiv preprint arXiv:2211.15568, 2022
12022
QUA-RC: the semi-synthetic dataset of multiple choice questions for assessing reading comprehension in Ukrainian
M Zyrianova, D Kalpakchi
Northern European Journal of Language Technology 9 (1), 2023
2023
SweCTRL-Mini: a data-transparent Transformer-based large language model for controllable text generation in Swedish
D Kalpakchi, J Boye
arXiv preprint arXiv:2304.13994, 2023
2023
Ask and distract: Data-driven methods for the automatic generation of multiple-choice reading comprehension questions from Swedish texts
D Kalpakchi
KTH Royal Institute of Technology, 2023
2023
Generation and Evaluation of Multiple-choice Reading Comprehension Questions for Swedish
D Kalpakchi, J Boye
2023
[Re] Learning to Learn By Self-Critique
I Arnekvist, D Kalpakchi
arXiv preprint arXiv:1912.00183, 2019
2019
Automatic Reference Resolution for Pedestrian Wayfinding Systems
D Kalpakchi
2018
Automatisk referenslösning i navigationssystem förfotgängare
D Kalpakchi
The system can't perform the operation now. Try again later.
Articles 1–18