Hi, I’m Jon Gauthier. I’m a student at Stanford University in the Symbolic Systems program, where my studies include natural language processing, computer science, linguistics, and psychology. I work in the Natural Language Processing Group, and my research falls into the broad category of “deep learning for NLP.”
This blog is a central place for me to publish somewhat unfiltered musings on natural language processing, machine learning, linguistics, economics, and all sorts of other fascinating things.
Recent personal news
- I gave a talk on the SPINN project at Google DeepMind in August 2016.
- Our paper on SPINN, a deep learning model for natural language understanding, has been accepted to ACL 2016. Sam Bowman and I presented the work at the conference in Berlin in August 2016.
- I joined OpenAI as a research intern in June 2016.
(Find me on Google Scholar for an up-to-date list.)
- A fast unified model for parsing and sentence understanding. Sam Bowman*, Jon Gauthier*, Raghav Gupta, Abhinav Rastogi, Christopher D. Manning, and Christopher Potts. ACL 2016.
- Conditional generative adversarial networks for convolutional face generation. Jon Gauthier. Stanford CS 231N class project. March 2015.
- Exploiting long-distance context in transition-based dependency parsing with recurrent neural networks. Jon Gauthier, Danqi Chen, and Christopher D. Manning. Preprint. 2014.