Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study

© 2019 Association for Computational Linguistics Neural language models have achieved state-of-the-art performances on many NLP tasks, and recently have been shown to learn a number of hierarchically-sensitive syntactic dependencies between individual words. However, equally important for language p...

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Podrobná bibliografie
Hlavní autoři: An, Aixiu, Qian, Peng, Wilcox, Ethan, Levy, Roger
Další autoři: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Médium: Článek
Jazyk:English
Vydáno: Association for Computational Linguistics 2021
On-line přístup:https://hdl.handle.net/1721.1/137251