Peter West

he/him | github | LinkedIn | Google Scholar | pawest at cs dot washington dot edu

I'm a graduate student at the Paul G. Allen School for Computer Science and Engineering at the University of Washington. I work with Yejin Choi on natural language processing.

My current research is focussed on unsupervised modelling and learning. Broadly, I would like to find elegant and principled paths to understanding language.

Previously, I recieved my B.Sc. in Honors Computer Science from the University of British Columbia. I have had the unique opportunity to do research in a wide range of fields, including: microbiology with Mike Ellison, microfluidic sensing with Al Meldrum and computational biology with Sara Mostafavi.

Publications


NLP Papers

Surface Form Competition: Why the Highest Probability Answer Isn’t Always Right EMNLP 2021
Ari Holtzman=, Peter West=, Vered Shwartz, Yejin Choi, and Luke Zettlemoyer.
= equal contribution
[paper] [project page] [code]

Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning ACL 2021
Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena Hwang, and Yejin Choi.
[paper] [talk] [project page] [code] [models]

NEUROLOGIC DECODING: (Un)supervised Neural Text Generation with Predicate Logic Constraints NAACL 2021
Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi.
[paper] [talk]

Unsupervised Commonsense Question Answering with Self-Talk EMNLP 2020
Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
[paper]

Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning EMNLP 2020
Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi
[paper]

BottleSum: Self-Supervised and Unsupervised Sentence Summarization using the Information Bottleneck Principle EMNLP 2019
Peter West, Ari Holtzman, Jan Buys, Yejin Choi.
[paper] [project page] [talk] [code]




Other Work

Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference 2020
Galen Weld=, Peter West=, Maria Glenski, David Arbour, Ryan Rossi, Tim Althoff
= equal contribution
[paper]

PLink: Discovering and Exploiting Datacenter Network Locality for Efficient Cloud-based Distributed Training MLSYS 2020
Liang Luo, Peter West, Arvind Krishnamurthy, Luis Ceze, Jacob Nelson
[paper]

Refractometric micro-sensor using a mirrored capillary resonator Optics Express 2016
William Morrish, Peter West, Nathan Orlando, Elizaveta Klantsataya, Kirsty Gardner, Stephen Lane, Raymond Decorby, Alexandre François, Alkiviathes Meldrum
[paper]

Protein biosensing with fluorescent microcapillaries Optics Express 2015
Stephen Lane, Peter West, Alexandre François, Alkiviathes Meldrum
[paper]