Steffen Eger

About me:

I am currently Independent Research Group Leader (IRGL) at TU Darmstadt, heading the Natural Language Learning Group. Before that, I was a PostDoc at UKP Lab (from 2016-2018) in Darmstadt as well as a PostDoc at Text Technology Lab (from 2014-2016) in Frankfurt. I obtained my PhD in economics on the topic of Social Learning/Opinion Dynamics.

My research interests include Natural Language Processing (NLP), Machine Learning, and applications in the Digital Humanities and Social Sciences. Currently, I am particularly interested in

  • evaluation metrics (for MT/summariztion) and cross-lingual approaches
  • applications in the Social Sciences and Digital Humanities, e.g., change of social biases over time, detection of social solidarity, poetry (generation/evaluation), metaphor and emotion detection, cross-temporal approaches (language change), argumentation
Earlier research interests included alignments, opinion dynamics (in a social science/economic context) as well as applications in math (such as integer compositions and limits of powers of matrices).

Email: eger(at)aiphes.tu-darmstadt.de
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News

Selected Recent Publications

  • Global Explainability of BERT-based Evaluation Metrics by Disentangling along Linguistic Factors
    Marvin Kaster, Wei Zhao, Steffen Eger
    EMNLP, 2021
    [paper]
  • The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results
    Marina Fomicheva, Piyawat Lertvittayakumjorn, Wei Zhao, Steffen Eger, Yang Gao
    Eval4NLP, 2021
    [paper]
  • Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases
    Tobias Walter, Celina Kirschner, Steffen Eger, Goran Glavaš, Anne Lauscher, Simone Paolo Ponzetto
    JCDL, 2021
    [paper]
  • BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks
    Yannik Keller, Jan Mackensen, Steffen Eger
    ACL, 2021
    [paper]
  • Better than Average: Paired Evaluation of NLP systems
    Maxime Peyrard, Wei Zhao, Steffen Eger, Robert West
    ACL, 2021
    [paper]
  • Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset
    Alexandra Ils, Dan Liu, Alexandra Grunow, Steffen Eger
    ACL, 2021
    [paper]
  • From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks
    Steffen Eger, Yannik Benz
    AACL, 2020
    [paper]
  • How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation
    Steffen Eger, Johannes Daxenberger, Iryna Gurevych
    CONLL, 2020
    [paper]
  • On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation
    Wei Zhao, Goran Glavaš, Maxime Peyrard, Yang Gao, Robert West, Steffen Eger
    ACL, 2020
    [paper]
  • SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization
    Yang Gao, Wei Zhao, Steffen Eger
    ACL, 2020
    [paper]
  • PO-EMO: Conceptualization, annotation, and modeling of aesthetic emotions in German and English poetry
    Thomas Haider, Steffen Eger, Evgeny Kim, Roman Klinger, Winfried Menninghaus
    LREC, 2020
    [paper]
  • MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
    Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger
    EMNLP, 2019
    [paper]
  • Text processing like humans do: Visually Attacking and Shielding NLP systems
    Steffen Eger, Gözde Gül Sahin, Andreas Rückle, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych
    NAACL, 2019
    [paper]
  • Does my rebuttal matter? Insights from a major NLP conference
    Yang Gao, Steffen Eger, Ilia Kuznetsov, Iryna Gurevych
    NAACL, 2019
    [paper]

Teaching