Aikaterini Margatina

According to our database, Aikaterini Margatina authored at least 13 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Active Learning Principles for In-Context Learning with Large Language Models.

Katerina Margatina, Timo Schick, Nikolaos Aletras, Jane Dwivedi-Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance?

Ahmed Alajrami, Katerina Margatina, Nikolaos Aletras

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Investigating Multi-source Active Learning for Natural Language Inference.

Ard Snijders, Douwe Kiela, Katerina Margatina

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views.

Katerina Margatina, Shuai Wang, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, Miguel Ballesteros

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

On the Limitations of Simulating Active Learning.

Katerina Margatina, Nikolaos Aletras

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

On the Importance of Effectively Adapting Pretrained Language Models for Active Learning.

Katerina Margatina, Loïc Barrault, Nikolaos Aletras

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Challenges and Strategies in Cross-Cultural NLP.

Daniel Hershcovich, Stella Frank, Heather C. Lent, Miryam de Lhoneux, Mostafa Abdou, Stephanie Brandl, Emanuele Bugliarello, Laura Cabello Piqueras, Ilias Chalkidis, Ruixiang Cui, Constanza Fierro, Katerina Margatina, Phillip Rust, Anders Søgaard

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Bayesian Active Learning with Pretrained Language Models.

Katerina Margatina, Loïc Barrault, Nikolaos Aletras

CoRR, 2021

Frustratingly Simple Pretraining Alternatives to Masked Language Modeling.

Atsuki Yamaguchi, George Chrysostomou, Katerina Margatina, Nikolaos Aletras

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Active Learning by Acquiring Contrastive Examples.

Katerina Margatina, Giorgos Vernikos, Loïc Barrault, Nikolaos Aletras

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Domain Adversarial Fine-Tuning as an Effective Regularizer.

Giorgos Vernikos, Katerina Margatina, Alexandra Chronopoulou, Ion Androutsopoulos

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Attention-based Conditioning Methods for External Knowledge Integration.

Katerina Margatina, Christos Baziotis, Alexandros Potamianos

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification.

Alexandra Chronopoulou, Aikaterini Margatina, Christos Baziotis, Alexandros Potamianos

Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018