How does the mind work? I would like to
understand what makes us intelligent, and why we
make mistakes at times. As a computional
cognitive scientist, I study language processing, dialogue, and decision-making.
My work is computational in two ways. (1) I use data science techniques for inference from large-scale datasets
and experiments. (2) I create computational, cognitive and statistical models to contribute to a unified theory of cognition.
My work in cognitive science is aided by
computational linguistics; my research in computer science is
inspired by cognition.
My research group is primarily supported by the National Science Foundation (several recent projects).
- McDonnell Foundation funds grant in education and understanding dialogue engagement (Co-PIs at UCSD and CMU. Postdoc position at UCSD Center for Research in Language available, starting summer 2018, specialization: psychology of dialogue or psycholinguistics, quantiative modeling)
- NSF grant funded (Perception,
Action&Cognition + Robust Intelligence): Inference of
the syntactic and semantic relationships between
words from an untagged corpus using a
distributional model of semantics derived from
human memory theory (co-authored by
post-doc Matthew Kelly). Post-doc available.
- Alex Ororbia, paper to appear in
Neural Computation (with T. Mikolov and
D. Reitter), "Learning Simpler Language Models with the Delta Recurrent Neural Network Framework."
Wang: PhD defense 4/2017. Now: IBM Research.
- SBP-BRiMS 2017 papers: Is Word Adoption a
Grassroots Process? An Analysis of Reddit
Communities (Cole/Ghafurian/Reitter), and How Emotional Support and
Informational Support Relate to Linguistic
- ACL 2017 paper by Yang Xu: Spectral Analysis of Information Density in Dialogue Predicts Collaborative Task Performance
- Cognition paper to appear by Yang Xu: Entropy in conversation: Towards an information-theoretic model of dialogue
- 2017 TopiCS issue out on Computational Models of Memory
- The book is out: Big Data in Cognitive
Science (M. Jones, ed.) - with a chapter on
studies in computational psycholinguistics.
- ACL 2016 paper accepted "Entropy converges between dialogue participants: explanations from an information-theoretic perspective"
- PLOS ONE paper accepted "Crowdsourcing the Measurement of Interstate Conflict"
(D'Orazio, Kenwick, Lane, Palmer, Reitter)
- ACL 2016 paper accepted "Convergence of Syntactic Complexity..."
- Social Science Research Institute funds Carlson/Putnam/Reitter to model syntactic processing in bilinguals
Penn State, 2012-:
Asst. Professor, Information Sciences
Carnegie Mellon, 2008-11: Post-doc, Psychology
Edinburgh, 2008: PhD, Informatics/Cognitive Science
U. C. Dublin, 2004: MSc, Computer Science
Potsdam, 2002: Dipl., Linguistics
Founder, 2005-: Aquamacs Emacs