Research Interests
I study deep learning models for Natural Language Processing (NLP). My research aims to make NLP technology more efficient and green, in order to decrease the environmental impact of the field, as well as lower the cost of AI research in order to broden participation in it.
My research is also driven towards making text understanding technology widely accessible—to doctors, to teachers, to researchers or even to curious teenagers. To be broadly adopted, NLP technology needs to not only be accurate, but also reliable: models should provide explanations for their outputs; and the methods we use to evaluate them need to be convincing.
My research addresses these two challenges: I develop theories that explain deep learning algorithms for NLP, and I seek ways to improve their evaluation.
Short Bio
News
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I will be joining the School of Computer Science and Engineering faculty
of The Hebrew University of Jerusalem in September 2020.
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Check out our new opinion piece on Green AI
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Four new papers accepted to EMNLP 2019 (see Publications). Congrats to Jesse (x2), Hao and Matt!
Talks
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Tel Aviv University, Computer Science and Electrical Engineering Colloquia (12/2018)
Weizmann Institute, Machine Learning Seminar (12/2018)
The Hebrew University, Computer Science Colloquium (12/2018)
Technion, Computer Science, Electrical Engineering, and Industrial Engineering Colloquia (12/2018)
Older Talks
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Google Research Tel Aviv, Machine Learning Seminar (12/2017)
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Intel Inc. Yakum, Research talk (03/2016)
University of Pennsylvania, CLunch computational linguistics seminar (02/2016)
Johns Hopkins University, NLP seminar (02/2016)
University of Washington, NLP seminar (02/2016)
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IBM Research Tel Aviv, Machine Learning and Data Mining Group Seminar (09/2015)
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The Catalonia-Israel Symposium on Lexical Semantics and Grammatical Structure (02/2015)
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Hebrew University, CS Learning Semanir (12/2014)
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Intel Inc. Haifa, ICRI-CI Retreat (05/2014)
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Berkeley, Natural Language Processing Group Seminar (10/2013)
Stanford, Natural Language Processing Group Seminar (10/2013)
USC Information Sciences Institute, Natural Language Processing Group Seminar (10/2013)
Twitter Inc., Technological Talk (10/2013)
Intel Inc. Santa Clara, Natural Language Processing Group Seminar (10/2013)
IBM Research Tel Aviv, Machine Learning and Data Mining Group Seminar (10/2013)
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The Israeli Seminar on Computational Linguistics, ISCOL 2011 (06/2011)
Professional Activities
- Area chair (Textual Inference and Other Areas of Semantics), ACL 2019
- Program committee member (and outstanding reviwer!) for most major NLP conferences (ACL, EMNLP, NAACL, CoNLL, EACL), machine learning conferences (NeurIPS, ICML, ICLR), AI conferences (AAAI) and various NLP workshops
- Journal reviewer for TACL, Computational linguistics, JAIR, Natural Language Engineering and Algorithms
Teaching
- Guest talk on distributional semantics at UW NLP course (spring 2017, slides, video)
- UW-NLP RNN Reading Group (spring 2017)
- UW-NLP Discourse Reading Group (winter 2017)
- Lecturer of the huji coursera online version of Introduction to Object Oriented Programming
- Lecturer of Introduction to Object Oriented Programming (13/14, 11/12 [Ranked #1 in student survey!],
10/11,
09/10)
- Lecturer of Computer Laboratory in Data Structures (12/13)
- Lecturer of Introduction to Programming in the Perl Language (07/08)
Contact Info
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Research Interests
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Short Bio
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News
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Publications
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Talks
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Professional Activities
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Teaching
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Last update: 09/2019