Luke Zettlemoyer
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Luke Zettlemoyer is a person.
- See: ELMo Representation; RoBERTa.
References
2023
- (Schick et al., 2023) ⇒ Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom. (2023). “Toolformer: Language Models Can Teach Themselves to Use Tools.” In: arXiv preprint arXiv:2302.04761. doi:10.48550/arXiv.2302.04761
2020
- (Conneau et al., 2020) ⇒ Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. (2020). “Unsupervised Cross-lingual Representation Learning at Scale.” In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
2019
- (Liu 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.
2018
- (Peters et al., 2018) ⇒ Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. (2018). “Deep Contextualized Word Representations.” In: Proceedings of NAACL-HLT 2018.
2014
- (Fader et al., 2014) ⇒ Anthony Fader, Luke Zettlemoyer, and Oren Etzioni. (2014). “Open Question Answering over Curated and Extracted Knowledge Bases.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623677
2013
- (Matuszek et al., 2013) ⇒ Cynthia Matuszek, Evan Herbst, Luke Zettlemoyer, and Dieter Fox. (2013). “Learning to Parse Natural Language Commands to a Robot Control System.” In: Experimental Robotics. doi:10.1007/978-3-319-00065-7_28
2011
- (Hoffmann et al., 2011) ⇒ Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke Zettlemoyer, and Daniel S. Weld. (2011). “Knowledge-based Weak Supervision for Information Extraction of Overlapping Relations.” In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1, pp. 541-550 . Association for Computational Linguistics,