World's Best Scientists 2026 revealed!
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Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
78
Citations
32643
World Ranking
1171
National Ranking
44

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award

Overview

Iryna Gurevych is affiliated with the Technical University of Darmstadt in Germany. Their research predominantly falls within the field of Computer Science, with a strong focus on Artificial Intelligence. Additional areas of work include Computer Vision and Pattern Recognition, Information Systems, Sociology and Political Science, and Communication.

The scientist's research covers a range of main topics including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Domain Adaptation and Few-Shot Learning
  • Software Engineering Research
  • Advanced Text Analysis Techniques

Frequently publishing at notable venues, their work appears significantly in:

  • arXiv (Cornell University)
  • TUbilio (Technical University of Darmstadt)
  • Transactions of the Association for Computational Linguistics
  • Computational Linguistics
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Among the recent papers authored or co-authored are:

  • Multilingual Classifier for Automatic Dewey Decimal Classification trained on Open Access Linguistics Abstracts, 2024, Zenodo (CERN European Organization for Nuclear Research)
  • BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models, 2021, arXiv (Cornell University)
  • Adaptive feedback from artificial neural networks facilitates pre-service teachers' diagnostic reasoning in simulation-based learning, 2022, Learning and Instruction
  • Efficient Methods for Natural Language Processing: A Survey, 2023, Transactions of the Association for Computational Linguistics
  • Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs, 2020, arXiv (Cornell University)

Collaborations have included work with frequent co-authors such as:

  • Jonas Pfeiffer
  • Nils Reimers
  • Preslav Nakov
  • Leonardo F. R. Ribeiro
  • Nafise Sadat Moosavi

Best Publications

  • Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

    Nils Reimers;Iryna Gurevych

  • Extracting Opinion Targets in a Single and Cross-Domain Setting with Conditional Random Fields

    Niklas Jakob;Iryna Gurevych

  • Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation

    Nils Reimers;Iryna Gurevych

  • Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary

    Torsten Zesch;Christof Müller;Iryna Gurevych

  • The Eras and Trends of Automatic Short Answer Grading

    Steven Burrows;Iryna Gurevych;Benno Stein

  • Parsing Argumentation Structures in Persuasive Essays

    Christian Stab;Iryna Gurevych

  • Large-scale multi-label text classification — revisiting neural networks

    Jinseok Nam;Jungi Kim;Eneldo Loza Mencía;Iryna Gurevych

  • A Monolingual Tree-based Translation Model for Sentence Simplification

    Zhemin Zhu;Delphine Bernhard;Iryna Gurevych

  • Identifying Argumentative Discourse Structures in Persuasive Essays

    Christian Stab;Iryna Gurevych

  • AdapterFusion: Non-destructive task composition for transfer learning

    Jonas Pfeiffer;Aishwarya Kamath;Andreas Rücklé;Kyunghyun Cho

  • Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging

    Nils Reimers;Iryna Gurevych

  • MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer

    Jonas Pfeiffer;Ivan Vulić;Iryna Gurevych;Sebastian Ruder

  • AdapterHub: A Framework for Adapting Transformers

    Jonas Pfeiffer;Andreas Rücklé;Clifton Poth;Aishwarya Kamath

  • What helps where – and why? Semantic relatedness for knowledge transfer

    Marcus Rohrbach;Michael Stark;Gyorgy Szarvas;Iryna Gurevych

  • Argumentation mining in user-generated web discourse

    Ivan Habernal;Iryna Gurevych

  • Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks

    Nils Reimers;Iryna Gurevych

  • Annotating Argument Components and Relations in Persuasive Essays

    Christian Stab;Iryna Gurevych

  • Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference

    Tobias Falke;Leonardo F. R. Ribeiro;Prasetya Ajie Utama;Ido Dagan

  • UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures

    Daniel Bär;Chris Biemann;Iryna Gurevych;Torsten Zesch

  • WebAnno: A Flexible, Web-based and Visually Supported System for Distributed Annotations

    Seid Muhie Yimam;Iryna Gurevych;Richard Eckart de Castilho;Chris Biemann

  • The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation

    Jan-Christoph Klie;Michael Bugert;Beto Boullosa;Richard Eckart de Castilho

Frequent Co-Authors

Yang Gao
Yang Gao Google (United Kingdom)
Ido Dagan
Ido Dagan Bar-Ilan University
Max Mühlhäuser
Max Mühlhäuser Technical University of Darmstadt
Frank Fischer
Frank Fischer Ludwig-Maximilians-Universität München
Martin R. Fischer
Martin R. Fischer Ludwig-Maximilians-Universität München
Benno Stein
Benno Stein Bauhaus University, Weimar
Stefan Roth
Stefan Roth Technical University of Darmstadt
Hinrich Schütze
Hinrich Schütze Ludwig-Maximilians-Universität München
Johannes Fürnkranz
Johannes Fürnkranz Johannes Kepler University of Linz
Omer Levy
Omer Levy Deep Mind

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