publications

* denotes equal contribution

An up-to-date list is available on Google Scholar.

2023

  1. EMNLP-Findings
    Active Learning Principles for In-Context Learning with Large Language Models
    Katerina Margatina, Timo Schick, Nikolaos Aletras, and Jane Dwivedi-Yu
    2023
  2. EMNLP
    Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance?
    Ahmed Alajrami, Katerina Margatina, and Nikolaos Aletras
    2023
  3. ACL-Findings
    On the Limitations of Simulating Active Learning
    Katerina Margatina, and Nikolaos Aletras
    In Findings of the Association for Computational Linguistics (ACL) 2023
  4. EACL
    Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views
    Katerina Margatina, Shuai Wang, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, and Miguel Ballesteros
    In Proceedings of the European Meeting of the Association for Computational Linguistics (EACL) 2023
  5. EACL
    Investigating Multi-source Active Learning for Natural Language Inference
    Ard Snijders, Douwe Kiela, and Katerina Margatina
    In Proceedings of the European Meeting of the Association for Computational Linguistics (EACL) 2023

2022

  1. DADC@NAACL
    Proceedings of the First Workshop on Dynamic Adversarial Data Collection
    Max Bartolo, Hannah Kirk, Pedro Rodriguez, Katerina Margatina, Tristan Thrush, Robin Jia, Pontus Stenetorp, Adina Williams, and Douwe Kiela
    2022
  2. ACL
    On the Importance of Effectively Adapting Pretrained Language Models for Active Learning
    Katerina Margatina, Loïc Barrault, and Nikolaos Aletras
    In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL) 2022
  3. ACL

    🌍 Theme 🌎

    Challenges and Strategies in Cross-Cultural NLP
    Daniel Hershcovich, Stella Frank, Heather Lent, Miryam Lhoneux, Mostafa Abdou, Stephanie Brandl, Emanuele Bugliarello, Laura Cabello Piqueras, Ilias Chalkidis, Ruixiang Cui, Constanza Fierro, Katerina Margatina, Phillip Rust, and Anders Søgaard
    In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL) 2022

2021

  1. EMNLP

    ✨ Oral ✨

    Active Learning by Acquiring Contrastive Examples
    Katerina Margatina, Giorgos Vernikos, Loïc Barrault, and Nikolaos Aletras
    In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) 2021
  2. EMNLP
    Frustratingly Simple Alternatives to Masked Language Modeling
    Atsuki Yamaguchi, George Chrysostomou, Katerina Margatina, and Nikolaos Aletras
    In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) 2021

2020

  1. EMNLP-Findings
    Domain Adversarial Fine-Tuning as an Effective Regularizer
    Giorgos Vernikos, Katerina Margatina, Alexandra Chronopoulou, and Ion Androutsopoulos
    In Findings of the Association for Computational Linguistics (EMNLP) 2020

2019

  1. Thesis
    Transfer Learning and Attention-based Conditioning Methods for Natural Language Processing
    Katerina Margatina
    2019
  2. ACL
    Attention-based Conditioning Methods for External Knowledge Integration
    Katerina Margatina, Christos Baziotis, and Alexandros Potamianos
    In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL) 2019

2018

  1. WASSA@EMNLP
    NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification
    Alexandra* Chronopoulou, Katerina* Margatina, Christos Baziotis, and Alexandros Potamianos
    In Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA) 2018