Artikel mit Open-Access-Mandaten - Omer LevyWeitere Informationen
Verfügbar: 9
Superglue: A stickier benchmark for general-purpose language understanding systems
A Wang, Y Pruksachatkun, N Nangia, A Singh, J Michael, F Hill, O Levy, ...
Advances in neural information processing systems 32, 2019
Mandate: US National Science Foundation
Improving distributional similarity with lessons learned from word embeddings
O Levy, Y Goldberg, I Dagan
Transactions of the association for computational linguistics 3, 211-225, 2015
Mandate: Deutsche Forschungsgemeinschaft
Shared computational principles for language processing in humans and deep language models
A Goldstein, Z Zada, E Buchnik, M Schain, A Price, B Aubrey, SA Nastase, ...
Nature neuroscience 25 (3), 369-380, 2022
Mandate: US National Institutes of Health
Do Supervised Distributional Methods Really Learn Lexical Inference Relations?
O Levy, S Remus, C Biemann, I Dagan
Proceedings of the 2015 Conference of the North American Chapter of the …, 2015
Mandate: Deutsche Forschungsgemeinschaft
A Simple Word Embedding Model for Lexical Substitution
O Melamud, O Levy, I Dagan
Proceedings of the 1st Workshop on Vector Space Modeling for Natural …, 2015
Mandate: Deutsche Forschungsgemeinschaft
Thinking ahead: spontaneous prediction in context as a keystone of language in humans and machines
A Goldstein, Z Zada, E Buchnik, M Schain, A Price, B Aubrey, SA Nastase, ...
BioRxiv, 2020.12. 02.403477, 2020
Mandate: US National Institutes of Health
Annotating relation inference in context via question answering
O Levy, I Dagan
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
Mandate: Deutsche Forschungsgemeinschaft
Learning to Exploit Structured Resources for Lexical Inference
V Shwartz, O Levy, I Dagan, J Goldberger
CoNLL, 2015
Mandate: Deutsche Forschungsgemeinschaft
Modeling extractive sentence intersection via subtree entailment
O Levy, I Dagan, G Stanovsky, J Eckle-Kohler, I Gurevych
Proceedings of COLING 2016, the 26th International Conference on …, 2016
Mandate: Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung
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