Note to prospective students/interns
Thank you for your interest in our research! Please do not contact me directly about internships, unless
for a specific job posting, or admissions. I am sorry, but I am unable to respond personally. Am I looking for new students? Yes! If you are a Cornell student, please email me. If not, I encourage
you to apply. See the PhD, Cornell Tech Masters, or undergraduate admission pages. My lab is located at the
NYC Cornell Tech campus.
We are looking for a game developer to build machine-learning-driven games to study natural language understanding. Options for remote/full/part-time/summer arrangements. Details and application here.
I am an Assistant Professor in the Department of Computer Science and Cornell Tech at Cornell University. I hold a B.Sc. from Tel Aviv University and a Ph.D. from the University of Washington.
I study methods for natural language understanding and generation in automated systems.
My research has two goals: (a) to build computer systems that interact with users using natural language and continuously improve through interaction, and (b) to develop computational understanding of natural language as a communication system.
A core principle underlying my current work is that learning, production, and comprehension of natural language does not occur in isolation, but within dynamic interactions with other intentional agents situated in a given environment.
My group's research is anchored in natural language processing and machine learning, and often intersects with computer vision and robotics.
Our work has been recognized by an NSF CAREER award, as well as acknowledged by awards and honorable mentions at ACL, EMNLP, NAACL, and IROS.
Announcements and Such
- November, 2021: Tutorial on crowdsourcing for data collection at EMNLP 2021
- August, 2021: Talk @ Workshop on Interactive Learning for Natural Language Processing (InterNLP) at ACL 2021
- June, 2021: Tutorial on vision-and-language research at CVPR 2021
- Dec 11, 2020: Commented on NLP+robotics research for a Knowable Magazine article
- Dec 9, 2020: Posted my remote teaching and talk recording setup
- Nov 19, 2020: Talk @ Third International Workshop on Spatial Language Understanding at EMNLP 2020
- Nov 19, 2020: Talk @ Interactive Executable Semantic Parsing Workshop at EMNLP 2020
- Nov 13, 2020: Natural Language, Dialog and Speech Symposium (NDS2020) Symposium
- Aug 20, 2020: Talk @ University of Edinburgh
- July 18, 2020: Talk @ Language in Reinforcement Learning Workshop at ICML 2020
- July 18, 2020: Talk @ Workshop on Learning in Artificial Open Worlds at ICML 2020
- July 15, 2020: Talk @ Amazon AI Virtual Speaker Series
- July 9, 2020: Talk @ Workshop on Advances in Language and Vision Research at ACL 2020
- Feb 7, 2020: Talk @ Massachusetts Institute of Technology
- Feb 6, 2020: Talk @ Brown University
- Jan 27, 2020: Talk @ Columbia University
- Jan 16, 2020: Talk @ Amazon NYC
- Dec 6, 2019: Talk @ Semantic Machines, Microsoft
- Dec 6, 2019: Talk @ University of California, Berkeley
- Dec 5, 2019: Talk @ Stanford University
- Dec 3, 2019: Talk @ University of Pennsylvania
- Nov 15, 2019: Talk @ University of Texas, Austin
- Nov 12, 2019: Microsoft Research (NYC)
- Oct 22, 2019: Talk @ University of Washington
- Oct 21, 2019: Talk @ Microsoft Research (Redmond)
- Jun 21, 2019: Talk @ Google AI
- Jun 17, 2019: Talk @ Visual Question Answering Workshop (CVPR workshop)
- Jun 6, 2019: Talk @ Shortcomings in Vision and Language (NAACL workshop)
- Jan 28, 2019: Talk @ Games and Simulations for Artificial Intelligence (AAAI Workshop)
For code and data, please see our GitHub page and the links
in the publication list. A funding and engagement disclosure is available here.
Teaching
Students
Alumni
This web page lists only students mentored for extensive periods.
PhDs
- Dipendra Misra (Thesis: Scalable and Interpretable
Approaches for Learning to Follow Natural Language Instructions; 2019) → Microsoft Research
Undergraduates and Interns
- Tianyi Zhang (undergraduate; 2019) → Stanford PhD
- Howard Chen (RA; 2020) → Princeton PhD
- Stephanie Zhou (undergraduate; 2018) → UMD PhD
- Claudia Yan (undergraduate, CUNY; 2018) → IBM
Bloomberg Center 371
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