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1611.01368
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Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
4 November 2016
Tal Linzen
Emmanuel Dupoux
Yoav Goldberg
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Papers citing
"Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies"
46 / 496 papers shown
Title
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Distance-Free Modeling of Multi-Predicate Interactions in End-to-End Japanese Predicate-Argument Structure Analysis
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Are All Languages Equally Hard to Language-Model?
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Sabrina J. Mielke
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Neural Network Acceptability Judgments
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LSTMs Exploit Linguistic Attributes of Data
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Inducing Grammars with and for Neural Machine Translation
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Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context
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He He
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State Gradients for RNN Memory Analysis
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Deep RNNs Encode Soft Hierarchical Syntax
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Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum
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On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference
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Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation
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Aparajita Haldar
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What's Going On in Neural Constituency Parsers? An Analysis
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Mitchell Stern
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Colorless green recurrent networks dream hierarchically
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Piotr Bojanowski
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IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning
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M. Castro
Mathieu Bernard
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The Importance of Being Recurrent for Modeling Hierarchical Structure
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Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples
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Inducing Regular Grammars Using Recurrent Neural Networks
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Avi Caciularu
Idan Rejwan
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Understanding Early Word Learning in Situated Artificial Agents
Felix Hill
S. Clark
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Phil Blunsom
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Refining Source Representations with Relation Networks for Neural Machine Translation
Wen Zhang
Jiawei Hu
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Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields
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Timothy Baldwin
Trevor Cohn
16
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Do latent tree learning models identify meaningful structure in sentences?
Adina Williams
Andrew Drozdov
Samuel R. Bowman
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Assessing the Stylistic Properties of Neurally Generated Text in Authorship Attribution
Enrique Manjavacas
J. D. Gussem
Walter Daelemans
M. Kestemont
DeLMO
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18 Aug 2017
Deep Recurrent Neural Networks for mapping winter vegetation quality coverage via multi-temporal SAR Sentinel-1
H. T. M. Dinh
Dino Ienco
R. Gaetano
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Emile Ndikumana
F. Osman
P. Maurel
6
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Encoding of phonology in a recurrent neural model of grounded speech
A. Alishahi
Marie Barking
Grzegorz Chrupała
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Exploring the Syntactic Abilities of RNNs with Multi-task Learning
Émile Enguehard
Yoav Goldberg
Tal Linzen
14
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Learning Structured Text Representations
Yang Liu
Mirella Lapata
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25 May 2017
Recurrent Additive Networks
Kenton Lee
Omer Levy
Luke Zettlemoyer
GNN
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38
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21 May 2017
Semi-supervised sequence tagging with bidirectional language models
Matthew E. Peters
Bridger Waleed Ammar
Chandra Bhagavatula
Russell Power
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634
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Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Jasmijn Bastings
Ivan Titov
Wilker Aziz
Diego Marcheggiani
K. Simaán
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492
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15 Apr 2017
Land Cover Classification via Multi-temporal Spatial Data by Recurrent Neural Networks
Dino Ienco
R. Gaetano
Claire Dupaquier
P. Maurel
19
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Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Diego Marcheggiani
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GNN
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11
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A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling
Diego Marcheggiani
Anton Frolov
Ivan Titov
16
110
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10 Jan 2017
How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs
Rico Sennrich
16
165
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Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner
Emmanuel Dupoux
29
152
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Representation of linguistic form and function in recurrent neural networks
Ákos Kádár
Grzegorz Chrupała
A. Alishahi
27
162
0
29 Feb 2016
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