David Reitter

Senior Research Scientist, Google Research, New York City
Associate Professor, Information Sciences and Technology, Penn State
research
How does the mind work? How can computers model and take over some of our cognitive function? I would like to understand what makes us intelligent and why we make mistakes at times. I study language processing, dialogue, and decision-making. Most recently, I have been interested in neural models of language and discourse in natural language processing. I use data science techniques for inference from large-scale datasets and experiments. I create computational, cognitive and statistical models to contribute to a unified theory of cognition. My work in cognitive science is made possible by computational linguistics; my research in computer science is inspired by cognition.

I am not taking new students. If you'd like to work with me (post-PhD) on NLP and dialogue, please apply to Google Research.

David Reitter
what's new in our research group?
  • New papers:
    • Indirect associations in learning semantic and syntactic lexical relationships (MA Kelly et al, Journal of Memory and Language)
    • Holographic Declarative Memory: Distributional Semantics as the Architecture of Memory (MA Kelly et al, Cognitive Science)
    • Predicting syntactic priming from sentence embedding vectors (MA Kelly et al., CogSci 2020)
    • Do We Need Neural Models to Explain Human Judgments of Acceptability? (Wang et al., CogSci 2020)
    • Surprisal Predicts Code-Switching in Chinese-English Bilingual Text (J Calvillo et al., accepted at EMNLP 2021)
  • Reitter group alumna Moojan Ghafurian, starting as Assistant Research Professor of ECE, U Waterloo
  • Reitter group post-doc M.A. Kelly, accepting tenure-track position as Assistant Professor of Computer Science, Bucknell University
  • ACM Trans. Comp-Hum Interf.: Countdown Timer Speed: A Trade-off between Delay Duration Perception and Recall (M. Ghafurian, with F.E. Ritter). ToCHI 27(2), March 2020.