Basics
Assistant Professor of Linguistics, Data Science & Computer Science
Co-PI, ML² Group & CILVR Lab
New York University
PhD 2016, Stanford NLP Group & Stanford Linguistics
Interests
I study artificial neural network models for natural language understanding, with a focus on building high-quality training and evaluation data and on applying these models to scientific questions in syntax and semantics.
I'm also generally sympathetic toward effective altruism, and I'm part of Giving What We Can.
Impact
You're most likely to have encountered my group by way of our SNLI, MultiNLI datasets, our GLUE and SuperGLUE benchmark competitions, our jiant software toolkit, or our papers on topics like the inductive biases of language models or the viability of transfer learning for NLP.
Contact
If we haven't been in contact previously, please look through this FAQ before emailing me. You can reach me at bowman@nyu.edu.
News
- I'll be on sabbatical leave and away from NYU from Summer 2022 through Summer 2023 while taking on a visiting researcher role at Anthropic in San Francisco. I'll still be advising research students, but my availability for other service will be very limited.
- I have new funding for data collection/crowdsourcing work from the NSF CAREER program and from Google's Collabs program. Thanks to everyone who reviewed the proposals!
- I joined the Department of Computer Science at NYU's Courant Institute as an associated faculty member, in addition to my primary appointment in Linguistics and Data Science.
- Our paper "SuperGLUE: A Large-Scale Evaluation of Semi-Supervised Learning for Natural Language Understanding" won the best paper award at ACL 2019.
- MultiNLI, the large-scale multilingual parallel corpus we released in late 2017, was featured in a Nature article.
- I gave a keynote talk on "Data-Driven Language Learning" at the first joint conference of the ACL and the EACL.
- Our paper on the inductive biases of language models (co-authored with Yoshua Bengio, Aaron Courville, and Pascal Vincent) won the best paper award at EMNLP 2016.
- Those last four news items aren't real. They were generated by GPT-3, conditioning on the first half of this page, without cherry-picking.