Aaron Steven White

What I do

I’m an Assistant Professor in the Department of Linguistics at the University of Rochester, with secondary appointments in the Department of Computer Science and the Department of Brain and Cognitive Sciences and an affiliation with the Goergen Institute for Data Science. I’m also Director of the FACTS.lab at UR, and I co-lead the MegaAttitude Project and the Decompositional Semantic Initiative with Ben Van Durme and Kyle Rawlins.

How to find me

Email aaron.white@rochester.edu
Github aaronstevenwhite
Twitter aaronsteven
Office 511A Lattimore Hall

Recent papers

White, A.S. 2019. Nothing’s wrong with believing (or hoping) whether. lingbuzz/004572.

Yan, S. & A.S. White. 2019. A Framework for Decoding Event-Related Potentials from Text. To appear in Proceedings of the 9th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2019).

Vashishtha, S., B. Van Durme, & A.S. White. 2019. Fine-Grained Temporal Relation Extraction. arXiv:1902.01390 [cs.CL].

Govindarajan, V.S., B. Van Durme, & A.S. White. 2019. Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements. arXiv:1901.11429 [cs.CL].

Recent and upcoming presentations

Yan, S. & A.S. White. 2019. A Framework for Decoding Event-Related Potentials from Text. To be presented at the 9th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2019), Minneapolis, MN, June 7, 2019.

White, A. S., R. Rudinger, K. Rawlins, & B. Van Durme. 2018. Lexicosyntactic Inference in Neural Models. Talk given at the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31-November 4, 2018.

Poliak, A., A. Haldar, R. Rudinger, J.E. Hu, E. Pavlick, A. S. White, & B. Van Durme. 2018. Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations. Talk given at the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31-November 4, 2018.

White, A. S. & K. Rawlins. 2018. The typology of veridicality inferences. Talk given at the 49th annual meeting of the North East Linguistic Society, Cornell University, October 5-7, 2018.

Where I’ve been

I received my BA in Linguistics from the University of California, Santa Cruz in 2009, followed by a year in the Department of Linguistics at the University of Maryland as a Baggett Fellow. I went on to receive my PhD in Linguistics from the University of Maryland in 2015. My dissertation, Information and Incrementality in Syntactic Bootstrapping, was co-advised by Valentine Hacquard and Jeff Lidz.

From 2015 to 2017, I was a postdoctoral fellow at Johns Hopkins University’s Science of Learning Institute with affiliations in the Department of Cognitive Science and the Center for Language and Speech Processing. While at Hopkins, I worked on the JHU Decompositional Semantics Initiative (Decomp), led by Ben Van Durme and Kyle Rawlins, and I led the MegaAttitude Project with Kyle Rawlins.