World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
24041
World Ranking
6634
National Ranking
2928

Research.com Recognitions

  • 2005 - David E. Rumelhart Prize for Contributions to the Theoretical Foundations of Human Cognition
  • 1995 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Paul Smolensky is affiliated with Microsoft in the United States. Their research primarily lies in the field of Computer Science, with a strong focus on Artificial Intelligence. Their contributions span a range of topics including Natural Language Processing Techniques, Topic Modeling, Text Readability and Simplification, Neural Networks and Applications, Multimodal Machine Learning Applications, Cognitive Science and Mapping, and Phonetics and Phonology Research.

Their scholarly output includes numerous publications, many of which are featured in prominent venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the Society for Computation in Linguistics
  • AI Magazine
  • Transactions of the Association for Computational Linguistics
  • Cognitive Science

Notable recent papers by Paul Smolensky include:

  • Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems (2022, AI Magazine)
  • How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN (2023, Transactions of the Association for Computational Linguistics)
  • Compositional Processing Emerges in Neural Networks Solving Math Problems (2021, arXiv (Cornell University))
  • Emergent Gestural Scores in a Recurrent Neural Network Model of Vowel Harmony (2021, Proceedings of the Society for Computation in Linguistics)
  • How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN (2021, arXiv (Cornell University))

Throughout their career, Paul Smolensky has collaborated frequently with several researchers. Their frequent coauthors include:

  • Roland Fernandez
  • Jianfeng Gao
  • R. Thomas McCoy
  • Aslı Çelikyılmaz
  • Tal Linzen

Paul Smolensky has been recognized with awards such as the David E. Rumelhart Prize for Contributions to the Theoretical Foundations of Human Cognition in 2005 and held a fellowship at the John Simon Guggenheim Memorial Foundation in 1995.

Best Publications

  • Optimality Theory: Constraint Interaction in Generative Grammar

    Alan S. Prince;Paul Smolensky

  • On the proper treatment of connectionism

    Paul Smolensky

  • Information processing in dynamical systems: foundations of harmony theory

    P. Smolensky

  • Schemata and sequential thought processes in PDP models

    D. E. Rumelhart;P. Smolensky;J. L. McClelland;G. E. Hinton

  • Tensor product variable binding and the representation of symbolic structures in connectionist systems

    P. Smolensky

  • Learnability in Optimality Theory

    Bruce Tesar;Paul Smolensky

  • Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment

    Michael C. Mozer;Paul Smolensky

  • Optimality: From Neural Networks to Universal Grammar

    Alan Prince;Paul Smolensky

  • Using Relevance to Reduce Network Size Automatically

    Michael C. Mozer;Paul Smolensky

  • Connectionist AI, symbolic AI, and the brain

    Paul Smolensky

  • Learning biases predict a word order universal

    Jennifer Culbertson;Paul Smolensky;Géraldine Legendre

  • The Learnability of Optimality Theory: An Algorithm and Some Basic Complexity Results

    Bruce Tesar;Paul Smolensky

  • When is less more? Faithfulness and minimal links in wh-chains

    Geraldine Legendre;Paul Smolensky;Colin Wilson

  • Optimization and Quantization in Gradient Symbol Systems: A Framework for Integrating the Continuous and the Discrete in Cognition

    Paul Smolensky;Matthew Goldrick;Donald Mathis

  • Tensor Product Production System: a Modular Architecture and Representation

    Charles P. Dolan;Paul Smolensky

  • Neural and conceptual interpretation of PDP models

    P. Smolensky

  • Optimality Theory: Constraint Interaction in Generative Grammar ; CU-CS-696-93

    Alan Prince;Paul Smolensky

  • Typological Consequences of Local Constraint Conjunction

    Elliot Moreton;Paul Smolensky

  • An Optimality-Theoretic Typology of Case and Grammatical Voice Systems

    Géraldine Legendre;William Raymond;Paul Smolensky

  • Grammar-based connectionist approaches to language

    Paul Smolensky

  • Harmonic Grammar -- A Formal Multi-Level Connectionist Theory of Linguistic Well-Formedness: An Application ; CU-CS-464-90

    Geraldine Legendre;Yoshiro Miyata;Paul Smolensky

  • Optimality-Theoretic Syntax

    Fabian Heck;Gereon Müller;Alan Prince;Paul Smolensky

  • Proceedings of the 40th Annual Meeting of the North East Linguistic Society

    Jennifer Culbertson;Paul Smolensky;Géraldine Legendre

Frequent Co-Authors

Michael C. Mozer
Michael C. Mozer Google (United States)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Li Deng
Li Deng Citadel
Matthew Goldrick
Matthew Goldrick Northwestern University
Kenneth D. Forbus
Kenneth D. Forbus Northwestern University
Wen-tau Yih
Wen-tau Yih Facebook (United States)
Asli Celikyilmaz
Asli Celikyilmaz Facebook (United States)
Clayton Lewis
Clayton Lewis University of Colorado Boulder
Peter W. Jusczyk
Peter W. Jusczyk Johns Hopkins University
Dapeng Wu
Dapeng Wu City University of Hong Kong

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