Hello! I'm Will, and I'm a Sr. Data Scientist at Capital One where I work on the natural language understanding for Eno, our virtual assistant. Prior to joining Capital One, I was a Master's student in the Courant Institute of Mathematical Sciences at New York University. I was also a member of the Machine Learning for Language (ML²) group (subset of the CILVR group) where I was advised by Prof. Samuel R. Bowman.

Research

Please refer to my Semantic Scholar page for an up-to-date list of publications.

Publications (2021)

Types of Out-of-Distribution Texts and How to Detect Them
Udit Arora, William Huang, and He He
In Proceedings of EMNLP 2021
[paper]

Does Putting a Linguist in the Loop Improve NLU Data Collection?
Alicia Parrish, William Huang, Omar Agha, Soo-Hwan Lee, Nikita Nangia, Alex Warstadt, Karmanya Aggarwal, Emily Allaway, Tal Linzen, Samuel R. Bowman
In Findings of EMNLP 2021
[paper]

Comparing Test Sets with Item Response Theory
Clara Vania,* Phu Mon Htut,* William Huang,* Dhara Mungra, Richard Yuanzhe Pang, Jason Phang, Haokun Liu, Kyunghyun Cho, Samuel R. Bowman
In Proceedings of ACL 2021
[paper]

Publications (2020)

Precise Task Formalization Matters in Winograd Schema Evaluations
Haokun Liu,* William Huang,* and Samuel R. Bowman
In Proceedings of EMNLP 2020
[paper]

Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data
William Huang, Haokun Liu, and Samuel R. Bowman
In Proceedings of EMNLP 2020 Workshop on Insights from Negative Results
[paper]

Preprints

Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair.
Jason Phang, Angelica Chen, William Huang, and Samuel R. Bowman
In arXiv
[paper]

Presentations


  • STAR Talk at New York Academy of Sciences' Natural Language, Dialog and Speech Symposium; 2020

Volunteer


  • NYU AI School; 2021



Last updated: November 18, 2021. Contact: Get in touch at wh322 at cornell dot edu!