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

D-Index & Metrics

Computer Science

D-Index
69
Citations
43918
World Ranking
1914
National Ranking
74

Research.com Recognitions

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

Overview

Hinrich Schütze is affiliated with Ludwig-Maximilians-Universität München in Germany, with a research focus concentrated in the field of Computer Science. Their work extensively covers several subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Language and Linguistics, and Communication.

The primary topics addressed in their scholarly output encompass Natural Language Processing Techniques, Topic Modeling, Multimodal Machine Learning Applications, Text Readability and Simplification, Speech and Dialogue Systems, Hate Speech and Cyberbullying Detection, and Domain Adaptation and Few-Shot Learning.

Recent publications illustrate a range of research interests across multiple venues. These include:

  • Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP (2021), Transactions of the Association for Computational Linguistics
  • Measuring and Improving Consistency in Pretrained Language Models (2021), Transactions of the Association for Computational Linguistics
  • Position Information in Transformers: An Overview (2022), Computational Linguistics
  • SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings (2020), Open access LMU (Ludwid Maxmilian's Universitat Munchen)
  • Few-Shot Text Generation with Natural Language Instructions (2021), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

The frequency of publications shows a preference for several venues, registering numerous contributions in:

  • arXiv (Cornell University)
  • Open access LMU (Ludwid Maxmilian's Universitat Munchen)
  • Transactions of the Association for Computational Linguistics
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Zenodo (CERN European Organization for Nuclear Research)

Hinrich Schütze has collaborated regularly with researchers such as Yihong Liu, Philipp Dufter, Leonie Weissweiler, Abdullatif Köksal, and François Yvon, indicating an extensive network of co-authorship within the domain.

Best Publications

  • Introduction to Information Retrieval

    Christopher D. Manning;Prabhakar Raghavan;Hinrich Schütze

  • Automatic word sense discrimination

    Hinrich Schütze

  • Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference

    Timo Schick;Hinrich Schütze

  • ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs

    Wenpeng Yin;Hinrich Schütze;Bing Xiang;Bowen Zhou

  • Comparative Study of CNN and RNN for Natural Language Processing

    Wenpeng Yin;Katharina Kann;Mo Yu;Hinrich Schütze

  • Dimensions of meaning

    H. Schutze

  • A comparison of classifiers and document representations for the routing problem

    Hinrich Schütze;David A. Hull;Jan O. Pedersen

  • It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

    Timo Schick;Hinrich Schütze

  • Automatic Detection of Text Genre

    Brett Kessler;Geoffrey Nunberg;Hinrich Schutze

  • A cooccurrence-based thesaurus and two applications to information retrieval

    Hinrich Schütze;Jan O. Pedersen

  • Word Space

    Hinrich Schütze

  • Projections for efficient document clustering

    Hinrich Schütze;Craig Silverstein

  • Distributional part-of-speech tagging

    Hinrich Schütze

  • PART-OF-SPEECH INDUCTION FROM SCRATCH

    Hinrich Schutze

  • AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes

    Sascha Rothe;Hinrich Schütze

  • Creating an online dictionary of abbreviations from MEDLINE.

    Jeffrey T. Chang;Hinrich Schütze;Russ B. Altman

  • Introduction to Information Retrieval: Scoring, term weighting, and the vector space model

    Christopher D. Manning;Prabhakar Raghavan;Hinrich Schütze

  • Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly

    Nora Kassner;Hinrich Schütze

  • Convolutional Neural Network for Paraphrase Identification

    Wenpeng Yin;Hinrich Schütze

  • Measuring and Improving Consistency in Pretrained Language Models

    Yanai Elazar;Yanai Elazar;Nora Kassner;Shauli Ravfogel;Shauli Ravfogel;Abhilasha Ravichander

  • Foundations of statistical natural language processing

    Gerhard Weikum

Frequent Co-Authors

Prabhakar Raghavan
Prabhakar Raghavan Google (United States)
Christopher D. Manning
Christopher D. Manning Stanford University
Ryan Cotterell
Ryan Cotterell ETH Zurich
Janet B. Pierrehumbert
Janet B. Pierrehumbert University of Oxford
Jan O. Pedersen
Jan O. Pedersen Microsoft (United States)
Iryna Gurevych
Iryna Gurevych Technical University of Darmstadt
Volker Tresp
Volker Tresp Ludwig-Maximilians-Universität München
Bowen Zhou
Bowen Zhou IBM (United States)
Benno Stein
Benno Stein Bauhaus University, Weimar
Russ B. Altman
Russ B. Altman Stanford University

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