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Katerina Margatina
Title
Cited by
Cited by
Year
Active Learning by Acquiring Contrastive Examples
K Margatina, G Vernikos, L Barrault, N Aletras
EMNLP 2021, 2021
1292021
Challenges and strategies in cross-cultural NLP
D Hershcovich, S Frank, H Lent, M de Lhoneux, M Abdou, S Brandl, ...
ACL 2022, 2022
76*2022
On the Importance of Effectively Adapting Pretrained Language Models for Active Learning
K Margatina, L Barrault, N Aletras
ACL 2022, 2022
40*2022
Attention-based conditioning methods for external knowledge integration
K Margatina, C Baziotis, A Potamianos
ACL 2019, 2019
352019
Frustratingly simple pretraining alternatives to masked language modeling
A Yamaguchi, G Chrysostomou, K Margatina, N Aletras
EMNLP 2021, 2021
262021
Active learning principles for in-context learning with large language models
K Margatina, T Schick, N Aletras, J Dwivedi-Yu
arXiv preprint arXiv:2305.14264, 2023
192023
NTUA-SLP at IEST 2018: Ensemble of neural transfer methods for implicit emotion classification
A Chronopoulou, A Margatina, C Baziotis, A Potamianos
WASSA 2018 (EMNLP), 2018
192018
Domain Adversarial Fine-Tuning as an Effective Regularizer
G Vernikos, K Margatina, A Chronopoulou, I Androutsopoulos
EMNLP 2020 (Findings), 2020
92020
Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views
K Margatina, S Wang, Y Vyas, NA John, Y Benajiba, M Ballesteros
EACL 2023, 2023
62023
On the Limitations of Simulating Active Learning
K Margatina, N Aletras
ACL 2023 (Findings), 2023
52023
Investigating Multi-source Active Learning for Natural Language Inference
A Snijders, D Kiela, K Margatina
EACL 2023, 2023
52023
Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance?
A Alajrami, K Margatina, N Aletras
arXiv preprint arXiv:2310.17271, 2023
2023
Proceedings of the First Workshop on Dynamic Adversarial Data Collection
M Bartolo, H Kirk, P Rodriguez, K Margatina, T Thrush, R Jia, P Stenetorp, ...
DADC 2022 (NAACL), 2022
2022
Transfer Learning and Attention-based Conditioning Methods for Natural Language Processing
Α Μαργατίνα
2019
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Articles 1–14