Omer Levy
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References
2019
- (Liu, Ott et al., 2019) ⇒ Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. (2019). “RoBERTa: A Robustly Optimized BERT Pretraining Approach.” In: CoRR, abs/1907.11692.
- (Wang, Pruksachatkun et al., 2019) ⇒ Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman. (2019). “SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems.” In: Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). arXiv:1905.00537
- (Wang, Singh et al., 2019) ⇒ Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman. (2019). “GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.” In: Proceedings of the 7th International Conference on Learning Representations (ICLR 2019).
2018
- (Wang et al., 2018) ⇒ Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman. (2018). “GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.” In: Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP@EMNLP 2018). DOI:10.18653/v1/W18-5446
- (Alon et al., 2018) ⇒ Uri Alon, Shaked Brody, Omer Levy, and Eran Yahav. (2018). “code2seq: Generating Sequences from Structured Representations of Code.” In: International Conference on Learning Representations.
2015
- (Levy et al., 2015) ⇒ Omer Levy, Yoav Goldberg, and Ido Dagan. (2015). “Improving Distributional Similarity with Lessons Learned from Word Embeddings.” In: Transactions of the Association for Computational Linguistics, 3.
2014
- (Levy & Goldberg, 2014) ⇒ Omer Levy, and Yoav Goldberg. (2014). “Neural Word Embedding As Implicit Matrix Factorization.” In: Advances in Neural Information Processing Systems.
- (Goldberg & Levy, 2014) ⇒ Yoav Goldberg, and Omer Levy. (2014). “word2vec Explained: Deriving Mikolov Et Al.'s Negative-sampling Word-embedding Method.” In: arXiv preprint arXiv:1402.3722.