2016–
Assistant Professor of Linguistics, Data Science & Computer Science
Co-PI, ML² Group & CILVR Lab
New York University
2011–2016
PhD Student
NLP Group, Department of Linguistics
Stanford University
Advisors: Chris Manning & Chris Potts
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.
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 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.
- In a new draft manuscript by Jason Phang et al., we've found impressive results from the use of English intermediate-task training on the cross-lingual transfer tasks in the XTREME benchmark.
- Alex Warstadt presented our work "Do self-supervised neural networks acquire a bias towards structural linguistic generalizations?" at CogSci this summer.
- My group presented two papers at ACL: a broad survey of when intermediate-task transfer learning helps for NLU tasks, and a demonstration paper explaining our open-source jiant tool.
- I have a new manuscript online covering some crowdsourcing methods design experiments I conducted with collaborators at Google in NYC.
- Alex Warstadt and Alicia Parrish presented ongoing work from my group on the BLiMP benchmark for sentence acceptability at SCiL, co-located with the LSA annual meeting in January.
- My group had two papers accepted at NeurIPS: A paper describing the new SuperGLUE benchmark (with a spotlight talk!), and an analysis paper with Nishant Subramani on language model latent spaces.
- An analysis paper by my fifteen-person NYU Linguistics seminar was accepted to EMNLP. tl;dr: Don't be too confident about the big-picture points that you conclude from any single model analysis experiment.
- A paper with Najoung Kim et al. from our JSALT 2018 collaboration won best paper at *SEM.