Yoav Artzi is an Associate Professor in the Department of Computer Science and Cornell Tech at Cornell University. His research focuses on developing learning methods for natural language understanding and generation in automated interactive systems. He received an NSF CAREER award, and his work was acknowledged by awards and honorable mentions at ACL, EMNLP, NAACL, and IROS. Yoav holds a B.Sc. from Tel Aviv University and a Ph.D. from the University of Washington.
Natural Language Processing
Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior
Noriyuki Kojima, Alane Suhr, and Yoav ArtziIn Transactions of the Association of Computational Linguistics (TACL), 2021.Presented in the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav ArtziIn Proceedings of the International Conference on Learning Representations (ICLR), 2020.
Learning to Map Natural Language Instructions to Physical Quadcopter Control Using Simulated Flight
Valts Blukis, Yannick Terme, Eyvind Niklasson, Ross A. Knepper, and Yoav ArtziIn Proceedings of the Conference on Robot Learning (CoRL), 2019.
Executing Instructions in Situated Collaborative Interactions
Alane Suhr, Claudia Yan, Jack Schluger, Stanley Yu, Hadi Khader, Marwa Mouallem, Iris Zhang, and Yoav ArtziIn Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019.
Learning to Map Context-Dependent Sentences to Executable Formal Queries
Alane Suhr, Srinivasan Iyer, and Yoav ArtziIn Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), 2018.
Selected Awards and Honors
- Outstanding Paper Award, NAACL, 2018
- NSF CAREER Award, 2018
- Google Faculty Research Award, 2015 and 2017
- Best Resource Paper Award, ACL, 2017
- Best Paper Award, EMNLP, 2015
- B.Sc. (Computer Science), Tel Aviv University, 2008
- Ph.D. (Computer Science and Engineering), University of Washington, 2015