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 | 30 | 2018 |
BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset D Kalpakchi, J Boye arXiv preprint arXiv:2108.03973, 2021 | 20 | 2021 |
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 | 7 | 2023 |
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 | 6 | 2022 |
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 | 5 | 2020 |
Quinductor: a multilingual data-driven method for generating reading-comprehension questions using universal dependencies D Kalpakchi, J Boye Natural Language Engineering 30 (2), 217-255, 2024 | 4 | 2024 |
Collecting Visually-Grounded Dialogue with A Game Of Sorts B Willemsen, D Kalpakchi, G Skantze arXiv preprint arXiv:2309.05162, 2023 | 4 | 2023 |
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 | 4 | 2019 |
EMBRACE: Evaluation and Modifications for Boosting RACE M Zyrianova, D Kalpakchi, J Boye arXiv preprint arXiv:2305.08433, 2023 | 2 | 2023 |
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 | 2 | 2021 |
Automatically generating question-answer pairs for assessing basic reading comprehension in Swedish D Kalpakchi, J Boye arXiv preprint arXiv:2211.15568, 2022 | 1 | 2022 |
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 | | |