Image of fall foliage on campus.

Brown Bag Talks

[Supported by the U.S. National Science Foundation: Grant No. 1048406]

The purpose of the group is to discuss issues in large datasets, language and speech processing. We are hoping to bring our cross-disciplinary strengths to these areas, to share ideas, to discuss the current state of the art, and to collaborate on research topics.

Upcoming Brown Bag Talks

WHEN: Tuesday, April 9, 4-5pm
WHERE: Schmitt Hall room 104, or, join us via Zoom:
Aiofe Cahill, PhD, Director of AI Research at Dataminr
AI for Good at Dataminr

Talk Abstract: In this talk, I will give an overview of how Dataminr uses multi-modal AI fusion techniques to identify breaking events across the world in real time. I will discuss some of the challenges associated with automatically processing massive amounts of publicly available data quickly and efficiently in order to identify relevant events and their attributes. Subsequently, I will discuss two case studies coming out of Dataminr’s nascent AI for Good program, where we partner with not-for-profit organizations to explore how AI can be applied to support these organizations.

Bio: Aoife Cahill joined Dataminr as a director of AI Research in 2021. There, she leads a team of scientists who conduct research and development into AI models that support the detection of world-wide events in real-time, in addition to supporting internal processes and product development. Aoife has a long history of NLP research, most recently focusing on real-world NLP applications, as well as resource development and evaluation.

Past Events

Tuesday, March 5th, 4-5pm
Anne Therese Frederiksen, PhD, Assistant Professor in Communication Arts, Sciences, and Disorders at Brooklyn College – CUNY
What good is a native norm when it mostly doesn’t apply? Assessing the consequences of language deprivation on narratives in American Sign Language

Wednesday, February 14th, 4-5 p.m.
Tal Linzen, PhD, Associate Professor of Linguistics and Data Science at NYU, Research Scientist at Google
How much data do neural networks need for syntactic generalization?

Monday, December 4, 1-2 p.m.
Mike Kalfus, GrapheneAI, Chief Commercial Officer
Artificial Intelligence in Healthcare Analytics: What is it good for? Absolute Everything….Say It Again!

Monday, November 13, 1-4pm
Anastassia Loukina, PhD, Engineering Manager, Grammarly
“How do we evaluate AI systems in real-world applications?”

Thursday, October 19, 4:00 – 5:00pm
Nick Williams, Instructional Specialist, Montclair State University
Why Documenting Languages (still) Matters and How to Do It

Thursday, September 28, 4:00 – 5:00pm
Adam Jardine, Associate Professor, Rutgers University
Why Computational Learning Theory Matters for Language Learning

Thursday, May 4, 3:45 – 5:00pm
Computational Lingustics students, Educational Testing Service
Educational Testing Service (ETS) Internship Presentations

Thursday, March 16th, 2023
Liubou Shefarevich, Second Language Testing Inc., a Berlitz company
Applying coursework in linguistics to an obscure field of language assessment, or what you can do with your linguistics degree

Thursday February 23, 2023
4:00PM – 5:00PM Zoom
Dr. Michael Flor, Educational Testing Service
AIG for Idioms: Towards testing knowledge of English idiomatic expressions with automatic item generation

Tuesday November 23, 2021
1:00PM – 2:00PM Zoom
Andrey Kutuzov, University of Oslo
Grammatical Profiling for Semantic Change Detection

Tuesday October 26th, 2021
4:00PM – 5:00PM Zoom
Anjalie Field, Carnegie Mellon University/University of Washington
Distantly-supervised Language Technologies for Social Text Analysis

Wednesday, May 5, 2021
3:30 – 4:30PM Zoom
Victor Kuperman, McMaster University
What makes us proficient readers in a second language: new eye-tracking corpora

April 6, 2021
4:15 – 5:15PM, Zoom
Dr. Xiao Yang, Language Data Researcher, Amazon Alexa
Linguistics Careers in Tech: What are they and how to prepare for tech job hunting

March 10, 2021
Gary Lupyan, Professor of Psychology at the University of Wisconsin-Madison
Learning from Language: How vocabulary helps to structure the mind

Watch a recording of Gary Lupyan’s March 10 discussion

November 17, 2020
Xiaofei Lu, Department of Linguistics, The Pennsylvania State University
Sense-aware Lexical Sophistication Indicies and Their Relationship to L2 Writing Quality

February 20, 2020
Sara Rosenthal, IBM
NLP for Healthcare in Electronic Health Records and Care Management Notes

November 14, 2019
Dr. Gerard de Melo, Rutgers University
Digging Deeper : Representations for Fine-Grained Affective Text Analysis

November 7, 2019
Zubin Jelveh, Ph.D., Crime Lab New York
Political Language in Economics

April 11, 2019
Chelsey Hill, Assistant Professor of Information Management and Business Analytics, Feliciano School of Business
Brown Bag Talk: Complaint Mining in the Automotive Industry

March 27, 2019
Richard Sproat, Research Scientist, Google Research, New York
Neural Models of Text Normalization for Speech Applications

March 7, 2019
Heng Ji, Rensselaer Polytechnic Institute
Universal Information Extraction

February 13, 2019
Joe Tetreault, Grammarly
It’s a Matter of Style: Experiments in Style Detection and Transformation with Natural Language Processing

View more past Brown Bag Talks here