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2010.05725
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Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models
12 October 2020
Ethan Gotlieb Wilcox
Peng Qian
Richard Futrell
Ryosuke Kohita
R. Levy
Miguel Ballesteros
NAI
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Papers citing
"Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models"
11 / 11 papers shown
Title
A Systematic Assessment of Syntactic Generalization in Neural Language Models
Jennifer Hu
Jon Gauthier
Peng Qian
Ethan Gotlieb Wilcox
R. Levy
ELM
69
220
0
07 May 2020
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment
Jaap Jumelet
Willem H. Zuidema
Dieuwke Hupkes
LRM
58
37
0
19 Sep 2019
The emergence of number and syntax units in LSTM language models
Yair Lakretz
Germán Kruszewski
T. Desbordes
Dieuwke Hupkes
S. Dehaene
Marco Baroni
44
170
0
18 Mar 2019
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
Ethan Gotlieb Wilcox
Peng Qian
Richard Futrell
Miguel Ballesteros
R. Levy
53
56
0
03 Mar 2019
RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency
Richard Futrell
Ethan Gotlieb Wilcox
Takashi Morita
R. Levy
44
57
0
05 Sep 2018
A Neural Model of Adaptation in Reading
Marten van Schijndel
Tal Linzen
74
62
0
29 Aug 2018
Targeted Syntactic Evaluation of Language Models
Rebecca Marvin
Tal Linzen
70
415
0
27 Aug 2018
Colorless green recurrent networks dream hierarchically
Kristina Gulordava
Piotr Bojanowski
Edouard Grave
Tal Linzen
Marco Baroni
76
504
0
29 Mar 2018
Effective Inference for Generative Neural Parsing
Mitchell Stern
Daniel Fried
Dan Klein
40
56
0
27 Jul 2017
Recurrent Neural Network Grammars
Chris Dyer
A. Kuncoro
Miguel Ballesteros
Noah A. Smith
GNN
87
524
0
25 Feb 2016
Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich
Barry Haddow
Alexandra Birch
195
7,729
0
31 Aug 2015
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