World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7528
World Ranking
9242
National Ranking
3935

Overview

Eric Nyberg is affiliated with Carnegie Mellon University in the United States and has a research focus within the broader field of computer science, particularly artificial intelligence. Their scholarly output comprises 77 publications, with specializations spanning artificial intelligence, computer vision and pattern recognition, automotive engineering, signal processing, and control and systems engineering.

Their research topics include:

  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Natural Language Processing Techniques
  • Autonomous Vehicle Technology and Safety
  • Reinforcement Learning in Robotics
  • Adversarial Robustness in Machine Learning
  • Traffic control and management

Eric Nyberg's recent published papers demonstrate a focus on question answering systems, multimodal control, commonsense reasoning, and educational domain applications. Selected publications include:

  • "Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering" (2021), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Open Domain Question Answering with A Unified Knowledge Interface" (2022), Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "Learn-to-Race: A Multimodal Control Environment for Autonomous Racing" (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Towards Automated Generation and Evaluation of Questions in Educational Domains" (2022), Zenodo (CERN European Organization for Nuclear Research)
  • "Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models" (2021), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Their frequent coauthors include Jonathan Francis, Kaixin Ma, Alessandro Oltramari, Bingqing Chen, and Jean Oh.

Eric Nyberg has published one book with Springer International Publishing titled "Magnesium 2021" (2021).

Their preferred publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Zenodo (CERN European Organization for Nuclear Research)

Best Publications

  • Building Watson: An Overview of the DeepQA Project

    David A. Ferrucci;Eric W. Brown;Jennifer Chu-Carroll;James Fan

  • Integrated authoring and translation system

    Peggy M Anderson;Kathryn L Baker;Michael M Bauer;Nicholas D Brownlow

  • A Long Short-Term Memory Model for Answer Sentence Selection in Question Answering

    Di Wang;Eric Nyberg

  • Natural language processing system and method for parsing a plurality of input symbol sequences into syntactically or pragmatically correct word messages

    Bruce R. Baker;Eric H. Nyberg

  • Metaphor Detection with Cross-Lingual Model Transfer

    Yulia Tsvetkov;Leonid Boytsov;Anatole Gershman;Eric Nyberg

  • The KANT system: fast, accurate, high-quality translation in practical domains

    Eric H. Nyberg;Teruko Mitamura

  • Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models

    Harsh Jhamtani;Varun Gangal;Eduard H. Hovy;Eric Nyberg

  • An Efficient Interlingua Translation System for Multi-lingual Document Production

    Teruko Mitamura;Eric H. Nyberg;Jaime G. Carbonell

  • Dynamic keyboard and method for dynamically redefining keys on a keyboard

    Bruce R. Baker;Brian Yoder;David Hershberger;Barry Romich

  • Structured retrieval for question answering

    Matthew W. Bilotti;Paul Ogilvie;Jamie Callan;Eric Nyberg

  • Controlled English for Knowledge-Based MT: Experience with the KANT System

    Teruko Mitamura;Eric H. Nyberg

  • The JAVELIN Question-Answering System at TREC 2002

    Eric Nyberg;Teruko Mitamura;Jaime G. Carbonell;James P. Callan

  • SEMANTIC EXTENSIONS OF THE EPHYRA QA SYSTEM FOR TREC 2007

    Nico Schlaefer;Jeongwoo Ko;Justin Betteridge;Manas A. Pathak

  • Controlled Language for Multilingual Document Production: Experience with Caterpillar Technical English 1

    Christine Kamprath;Eric Adolphson;Teruko Mitamura;Eric Nyberg

  • A probabilistic graphical model for joint answer ranking in question answering

    Jeongwoo Ko;Eric Nyberg;Luo Si

  • Steering Output Style and Topic in Neural Response Generation

    Di Wang;Nebojsa Jojic;Chris Brockett;Eric Nyberg

  • Overview of the NTCIR-7 ACLIA Tasks: Advanced Cross-Lingual Information Access

    Teruko Mitamura;Eric Nyberg;Hideki Shima;Tsuneaki Kato

  • The JAVELIN Question-Answering System at TREC 2003: A Multi-Strategy Approach with Dynamic Planning

    Eric H. Nyberg;Teruko Mitamura

  • Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering

    Kaixin Ma;Filip Ilievski;Jonathan Francis;Yonatan Bisk

  • Overview of the NTCIR-7 ACLIA IR4QA Task

    Tetsuya Sakai;Noriko Kando;Chuan-Jie Lin;Teruko Mitamura

  • Automatic Set Expansion for List Question Answering

    Richard C. Wang;Nico Schlaefer;William W. Cohen;Eric Nyberg

Frequent Co-Authors

Teruko Mitamura
Teruko Mitamura Carnegie Mellon University
Jaime G. Carbonell
Jaime G. Carbonell Carnegie Mellon University
Bruce M. McLaren
Bruce M. McLaren Carnegie Mellon University
Florian Metze
Florian Metze Carnegie Mellon University
Bhiksha Raj
Bhiksha Raj Carnegie Mellon University
Richard M. Stern
Richard M. Stern Carnegie Mellon University
Alan W. Black
Alan W. Black Carnegie Mellon University
Luo Si
Luo Si Alibaba Group (China)
Alexander G. Hauptmann
Alexander G. Hauptmann Carnegie Mellon University
Eduard Hovy
Eduard Hovy Carnegie Mellon University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to many related online degrees and career pathways. If you're looking to advance quickly, one year masters programs offer a fast-track option for upskilling and entering the workforce with a higher qualification.

For those seeking value, cheap online mba programs provide business and management skills at a lower cost—ideal for tech professionals aiming for leadership roles.

Salary outcomes are important, and there are several degrees you can get online that pay well. These can include IT, cybersecurity, and other technology-focused credentials that lead directly to high-demand, lucrative roles.

For those interested in the cutting edge, online ai degree programs can help you specialize in artificial intelligence—a sought-after skillset across industries.

Whether you want to pivot your career, fast-track your education, or specialize in next-generation tech, these online options make it easier to achieve your goals from anywhere.

Best Scientists Citing Eric Nyberg

Trending Scientists