Speaker Series

The Stony Brook NLP Speaker Series invites distinguished researchers from the northeast and across the world to present on cutting-edge work in language analysis and computational linguistics. Talks are typically held in New Computer Science room 120 (our brand new lecture hall) and are open to anyone in the Stony Brook community. 

Upcoming: 

August 18, 2023:  Allison Lahnala, University of Bonn, Germany
Social NLP for Discourse & Conversation Modeling

September 1, 2023 (tentative)  Lucy Flek, University of Bonn, Germany
TBD

 

 

Past Talks: 

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October 4, 2019:  Guillermo Cecchi IBM TJ Watson Center, New York
Computational Psychiatry in IBM Research: an overview from neuroimaging to language

October 18, 2019:  Dirk Hovy, University of Bocconi, Italy
Hidden Biases. Ethical Issues in NLP, and What to Do about Them

October 25, 2019: Daniel Preotiuc-Pietro Bloomberg LP, New York City
TBD

 

Feb 15th, 2019: Dipanjan Das​, Google AI, New York
Learning to Generate and Understand Discourse via Wikipedia Edits

April 9, 2019: Dan Jurafsky Stanford University  (part of CS department distinguished lecture series)​
Does This Vehicle Belong to You? Processing the Language of Policing for Improving Police-Community Relations

September 17, 2018: Rediet Abebe, Cornell University
Information and Overexposure in Word-of-Mouth Campaigns

February 9, 2018: Noah Smith, University of Washington (part of CS department distinguished lecture series)
New Applications of Natural Language Processing:  Measuring Ideas and Machine-in-the-Loop Creativity

November 17, 2017: Kyunghyun Cho, New York University. 
Neural Machine Translation

November 3, 2017: Hal Daume III, University of Maryland, College Park. 
Language learning through interactions

October 23, 2017: Nate Chambers, US Naval Academy, Annapolis. 
Interdisciplinary NLP with Social Media: International Relations and Cybersecurity Attacks on Twitter. 

October 13, 2017: Johannes Eichstaedt, University of Pennsylvania.
New Results in Psychological Data Science: Insights about the Well-Being of Communities, and Tracking Emotions within Individuals.

May 8, 2017: David Bamman, University of California, Berkeley
Challenges in the Computational Analysis of Large Book Corpora.