World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
4485
World Ranking
11377
National Ranking
567

Overview

Stefan Riezler is affiliated with Heidelberg University in Germany and specializes in the field of Computer Science, with a particular focus on Artificial Intelligence. Their research spans several subfields including Computer Vision and Pattern Recognition, Information Systems, Epidemiology, and Computational Mechanics.

Their work covers various topics within the domain of machine learning and data science, including:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Adversarial Robustness in Machine Learning
  • Explainable Artificial Intelligence (XAI)
  • Semantic Web and Ontologies
  • Sepsis Diagnosis and Treatment

Riezler has authored several recent papers, highlighting a range of applications from vision-language navigation to medical informatics. Notable publications include:

  • VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View, 2024, Proceedings of the AAAI Conference on Artificial Intelligence
  • Analyzing Generalization of Vision and Language Navigation to Unseen Outdoor Areas, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Ground truth labels challenge the validity of sepsis consensus definitions in critical illness, 2022, Journal of Translational Medicine
  • Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap, 2024, Transactions of the Association for Computational Linguistics
  • Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science, 2021, Synthesis lectures on human language technologies

The scientist has collaborated frequently with several researchers, including:

  • Michael Hagmann
  • Nathaniel Berger
  • Raphael Schumann
  • Artem Sokolov
  • Michael Staniek

Their publications are often featured in venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, Transactions of the Association for Computational Linguistics, and the Journal of Translational Medicine.

In addition to articles, Riezler has contributed to academic literature through book publications with Morgan & Claypool Publishers, notably the title Validity, Reliability, and Significance published in 2022 and 2024.

Best Publications

  • Parsing the Wall Street Journal using a Lexical-Functional Grammar and Discriminative Estimation Techniques

    Stefan Riezler;Tracy H. King;Ronald M. Kaplan;Richard Crouch

  • Statistical Machine Translation for Query Expansion in Answer Retrieval

    Stefan Riezler;Alexander Vasserman;Ioannis Tsochantaridis;Vibhu Mittal

  • Estimators for Stochastic "Unification-Based" Grammars

    Mark Johnson;Stuart Geman;Stephen Canon;Zhiyi Chi

  • On Some Pitfalls in Automatic Evaluation and Significance Testing for MT

    Stefan Riezler;John T. Maxwell

  • Inducing a Semantically Annotated Lexicon via EM-Based Clustering

    Mats Rooth;Stefan Riezler;Detlef Prescher;Glenn Carroll

  • The PARC 700 Dependency Bank

    Tracy Holloway King;Richard S. Crouch;Stefan Riezler;Mary Dalrymple

  • Speed and Accuracy in Shallow and Deep Stochastic Parsing

    Ronald M. Kaplan;Stefan Riezler;Tracy Holloway King;John T. Maxwell

  • Statistical sentence condensation using ambiguity packing and stochastic disambiguation methods for Lexical-Functional Grammar

    Stefan Riezler;Tracy H. King;Richard Crouch;Annie Zaenen

  • Query rewriting using monolingual statistical machine translation

    Stefan Riezler;Yi Liu

  • Lexicalized stochastic modeling of constraint-based grammars using log-linear measures and EM training

    Stefan Riezler;Jonas Kuhn;Detlef Prescher;Mark Johnson

  • Machine translation for query expansion

    Stefan Riezler;Alexander L. Vasserman

  • Multimodal Pivots for Image Caption Translation

    Julian Hitschler;Shigehiko Schamoni;Stefan Riezler

  • A Full-Text Learning to Rank Dataset for Medical Information Retrieval

    Vera Boteva;Demian Gholipour;Artem Sokolov;Stefan Riezler

  • Joey NMT: A Minimalist NMT Toolkit for Novices.

    Julia Kreutzer;Jasmijn Bastings;Stefan Riezler

  • Probabilistic constraint logic programming

    Stefan Riezler

  • Systems and methods for determining user interests

    Stefan Riezler;Daniel H. Greene

  • Grammatical Machine Translation

    Stefan Riezler;John T. Maxwell Iii

  • QUality Estimation from ScraTCH (QUETCH): Deep Learning for Word-level Translation Quality Estimation

    Julia Kreutzer;Shigehiko Schamoni;Stefan Riezler

  • Using a probabilistic class-based lexicon for lexical ambiguity resolution

    Detlef Prescher;Stefan Riezler;Mats Rooth

  • Wide-coverage deep statistical parsing using automatic dependency structure annotation

    Aoife Cahill;Michael Burke;Ruth O'Donovan;Stefan Riezler

  • Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning.

    Julia Kreutzer;Joshua Uyheng;Stefan Riezler

Frequent Co-Authors

Mark Johnson
Mark Johnson Macquarie University
Ronald M. Kaplan
Ronald M. Kaplan Stanford University
Steven Abney
Steven Abney University of Michigan–Ann Arbor
Sebastian Padó
Sebastian Padó University of Stuttgart
Massimiliano Ciaramita
Massimiliano Ciaramita Google (United States)
Marcello Federico
Marcello Federico Amazon (United States)
John M. Carroll
John M. Carroll University of Sussex
Andy Way
Andy Way Dublin City University
Josef van Genabith
Josef van Genabith Saarland University
Christoph Dieterich
Christoph Dieterich University Hospital Heidelberg

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