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

D-Index & Metrics

Computer Science

D-Index
116
Citations
50992
World Ranking
180
National Ranking
105

Research.com Recognitions

  • 2025 - Research.com Computer Science in United States Leader Award

Overview

Noah A. Smith is affiliated with the University of Washington in the United States. Their research primarily spans the field of Computer Science, with a significant focus on Artificial Intelligence. Other areas of study include Computer Vision and Pattern Recognition, Molecular Biology, Information Systems, and Sociology and Political Science.

The scientist's work covers a broad range of topics within their main field, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Explainable Artificial Intelligence (XAI)
  • Speech and dialogue systems
  • Advanced Text Analysis Techniques

Noah A. Smith has published extensively, with frequent contributions to venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Transactions of the Association for Computational Linguistics

Recent notable papers include:

  • "Green AI," published in 2020 in Communications of the ACM
  • "Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping," published in 2020 on arXiv (Cornell University)
  • "Measuring the Carbon Intensity of AI in Cloud Instances," published in 2022 at the ACM Conference on Fairness, Accountability, and Transparency
  • "Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection," published in 2022 in the Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

The scientist frequently collaborates with other researchers, including:

  • Hannaneh Hajishirzi
  • Yejin Choi
  • Jungo Kasai
  • Jesse Dodge
  • Luke Zettlemoyer

Best Publications

  • From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series

    Brendan O'Connor;Ramnath Balasubramanyan;Bryan R. Routledge;Noah A. Smith

  • Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

    Suchin Gururangan;Ana Marasović;Ana Marasović;Swabha Swayamdipta;Kyle Lo

  • Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments

    Kevin Gimpel;Nathan Schneider;Brendan O'Connor;Dipanjan Das

  • Green AI

    Roy Schwartz;Jesse Dodge;Noah A. Smith;Oren Etzioni

  • Annotation Artifacts in Natural Language Inference Data

    Suchin Gururangan;Swabha Swayamdipta;Omer Levy;Roy Schwartz;Roy Schwartz

  • Retrofitting Word Vectors to Semantic Lexicons

    Manaal Faruqui;Jesse Dodge;Sujay Kumar Jauhar;Chris Dyer

  • Transition-Based Dependency Parsing with Stack Long Short-Term Memory

    Chris Dyer;Miguel Ballesteros;Wang Ling;Austin Matthews

  • A Simple, Fast, and Effective Reparameterization of IBM Model 2

    Chris Dyer;Victor Chahuneau;Noah A. Smith

  • Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters

    Olutobi Owoputi;Brendan O'Connor;Chris Dyer;Kevin Gimpel

  • A Latent Variable Model for Geographic Lexical Variation

    Jacob Eisenstein;Brendan O'Connor;Noah A. Smith;Eric P. Xing

  • Knowledge Enhanced Contextual Word Representations

    Matthew E. Peters;Mark Neumann;Robert L. Logan;Roy Schwartz

  • The Web as a parallel corpus

    Philip Resnik;Noah A. Smith

  • Self-Instruct: Aligning Language Models with Self-Generated Instructions

    Unknown

  • The Risk of Racial Bias in Hate Speech Detection.

    Maarten Sap;Dallas Card;Saadia Gabriel;Yejin Choi

  • ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning

    Maarten Sap;Ronan Le Bras;Emily Allaway;Chandra Bhagavatula

  • Linguistic Knowledge and Transferability of Contextual Representations

    Nelson F. Liu;Matt Gardner;Yonatan Belinkov;Matthew E. Peters

  • Recurrent Neural Network Grammars

    Chris Dyer;Adhiguna Kuncoro;Miguel Ballesteros;Noah A. Smith

  • Is Attention Interpretable

    Sofia Serrano;Noah A. Smith

  • Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability

    Jonathan H. Clark;Chris Dyer;Alon Lavie;Noah A. Smith

  • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

    Katrin Erk;Noah A. Smith

  • Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

    Jesse Dodge;Gabriel Ilharco;Roy Schwartz;Ali Farhadi

  • Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics

    Kevin Gimpel;Nathan Schneider;Brendan O'Connor;Dipanjan Das

  • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

    Katrin Erk;Noah A. Smith

Frequent Co-Authors

Chris Dyer
Chris Dyer Google (United States)
Kevin Gimpel
Kevin Gimpel Toyota Technological Institute at Chicago
André F. T. Martins
André F. T. Martins Instituto Superior Técnico
Eric P. Xing
Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence
Yejin Choi
Yejin Choi Stanford University
Dipanjan Das
Dipanjan Das Google (United States)
Dani Yogatama
Dani Yogatama University of Southern California
Maarten Sap
Maarten Sap Carnegie Mellon University
Mário A. T. Figueiredo
Mário A. T. Figueiredo Instituto Superior Técnico

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