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Omer Levy
Senior Lecturer
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Bio
I am interested in realizing high-level semantic applications such as question answering and summarization to help people cope with information overload. At the heart of these applications are challenges in textual entailment and semantic similarity, which form the core of my current research. I am also interested in the current advances in deep learning and how they can facilitate semantic applications.
I love teaching, and enjoy the challenge of communicating complex concepts clearly and concisely.
I love teaching, and enjoy the challenge of communicating complex concepts clearly and concisely.
Papers63 papers
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ACL, pp.7871-7880, (2020)
Proceedings of the National Academy of Sciences of the United States of America, pp.201907367, (2020)
ICML, pp.245-256, (2020)
ICLR, (2020)
ICML, pp.3515-3523, (2020)
ACL, pp.2996-3005, (2020)
W-NUT@EMNLP, (2019): 42-47
EMNLP, pp.2555-2565, (2019)
Liu Yinhan,Ott Myle,Goyal Naman,Du Jingfei, Joshi Mandar,Chen Danqi,Levy Omer,Lewis Mike,Zettlemoyer Luke,Stoyanov Veselin
Transactions of the Association for Computational Linguistics, (2019): 64-77
ICLR, (2019)
International Joint Conference on Natural Language Processing, (2019)
EMNLP/IJCNLP (1), pp.6111-6120, (2019)
Cited by14EIBibtex
symposium on principles of programming languages, (2019)
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael,Felix Hill,Omer Levy,Samuel Bowman
neural information processing systems, (2019)
Bibtex
BLACKBOXNLP WORKSHOP ON ANALYZING AND INTERPRETING NEURAL NETWORKS FOR NLP AT ACL 2019, (2019): 276-286
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 14014-14024
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