John LaVaMe – Learning With NLP

John LaVaMe – Learning With NLP

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Hi! I’m a second-year PhD student in computer science at Stanford University, where I’m working on natural language processing research. I am grateful to Chris Manning and Percy Liang for co-advising me.

My aims are to create systems that learn to understand human languages robustly and effectively in order to advance human communication and education, as well as to educate others.

Look me up on Google Scholar or Twitter, or download my CV.

I’m broadly interested in research subjects pertaining to the theoretical capabilities of neural models, the subset they experimentally acquire through (self-)supervision, the subset we can understand, and the expansion of all of these sets. I specialize on (interpreting) representation learning, induction of latent hierarchical structure, small-data settings, and multilingualism. I worked in Chris Callison-lab Burch’s as an undergraduate at Penn.

[Fall 2020] I’m a teaching assistant for Stanford CS 224n: Natural Language Processing with Deep Learning! I’m in charge of the unique final project program.
[November 2019] Formalized paraphrase I’ll be speaking at Berkeley on Probing Neural NLP: Ideas and Problems!
[November 2019] Formalized paraphrase The best paper runner-up at EMNLP 2019 was Designing and Interpreting Probes with Control Tasks! The presentation slides are accessible here.
[Aug. 2019] My collaboration with Percy Liang on the design and interpretation of neural probes with random control tasks has been approved for publication in EMNLP! Both a paper and a blog post are available.
[July 2019] I’ll be speaking about identifying and comprehending emergent language structure in neural NLP at Amazon AI!
[June 2019] I gave a lecture on structural probes at NAACL’19! The slides are now available in PDF format.
[April 2019] I had a terrific time talking about structural probes with Waleed Ammar and Matt Gardner! The latest NLP Highlights podcast episode on the subject is available here.
[March 2019] At the Stanford Human-Centered Artificial Intelligence Institute Symposium, I’ll be giving a paper on syntax in unsupervised representations of language.
[Feb 2019] My paper on approaches for identifying syntax trees contained in contextual representations of language, co-authored with Chris Manning, has been approved for presentation at NAACL 2019!
[Oct 2018] I’ve started holding office hours for Stanford freshmen who are interested in research!

Undergraduate Research Office Hours (ROHU)

An open session for undergraduates seeking guidance and conversations about natural language processing research. Find out more.

ROHU is on winter vacation and will return in an upgraded version in Winter Quarter 2019! Until then, please do not hesitate to contact me.

When: Wednesdays, 6:00-7:00 PM (beginning October 9!)
Gates Building, 2nd floor, A-wing, large central room (219). If 219 is full, try 219a in the rear.)
Who You, Stanford undergraduates eager to discuss research; I, eager to assist

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