Tal Linzen

I am an Assistant Professor in the Department of Cognitive Science at Johns Hopkins University, where I direct the JHU Computational Psycholinguistics Lab.

I am also affiliated with the Center for Language and Speech Processing.

Representative publications

Tal Linzen (2019). What can linguistics and deep learning contribute to each other? Language: Perspectives section. [arxiv]

Tal Linzen & Florian Jaeger (2016). Uncertainty and expectation in sentence processing: Evidence from subcategorization distributions. Cognitive Science 40(6), 1382–1411. [link] [pdf] [bib]

Tal Linzen, Emmanuel Dupoux & Yoav Goldberg (2016). Assessing the ability of LSTMs to learn syntax-sensitive dependencies. Transactions of the Association for Computational Linguistics 4, 521–535. [link] [pdf] [bib]

Here's a video of a talk I gave in December 2018 at the Allen Institute for Artificial Intelligence, titled "Using cognitive science to evaluate and interpret neural language models".

Short bio

Before joining JHU, I was a postdoctoral researcher in LSCP and IJN in the Cognitive Science Department at the École Normale Supérieure in Paris, where I worked with Emmanuel Dupoux and Benjamin Spector.

I obtained my Ph.D. in Linguistics in September 2015 from New York University, under the supervision of Alec Marantz. During my Ph.D., I also collaborated with Gillian Gallagher, Maria Gouskova and Liina Pylkkänen at NYU, as well as with Florian Jaeger at the University of Rochester.

Before that, I obtained a B.Sc. in Mathematics and Linguistics and an M.A. in Linguistics (with Mira Ariel), both from Tel Aviv University, and worked as a data scientist and software engineer.

Contact

tal.linzen@jhu.edu
243 Krieger Hall
Cognitive Science Department
Johns Hopkins University
3400 N. Charles Street
Baltimore, MD 21218

News

February 8: LTI colloquium talk at Carnegie Mellon University.

December: Paper on interpreting neural network internal representations using tensor products accepted to ICLR.

Winter break talks: Yale Linguistics (Dec 10), Microsoft Research Redmond (Dec 13), Allen AI Institute (Dec 14), Google New York (Jan 7).

November: paper and extended abstract accepted to the Society for Computation in Linguistics.

November 1: Co-organized the workshop on analyzing and interpreting neural networks for NLP (at EMNLP).

October 19: Colloquium talk at Georgetown University.

September 3-4: Visiting the University of Potsdam.

August: Two papers accepted to EMNLP.

July: Three papers from the lab presented at the Cognitive Science Society conference: 1 2 3.