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Colorless green recurrent networks dream hierarchically

Colorless green recurrent networks dream hierarchically

29 March 2018
Kristina Gulordava
Piotr Bojanowski
Edouard Grave
Tal Linzen
Marco Baroni
ArXivPDFHTML

Papers citing "Colorless green recurrent networks dream hierarchically"

35 / 285 papers shown
Title
What do you learn from context? Probing for sentence structure in
  contextualized word representations
What do you learn from context? Probing for sentence structure in contextualized word representations
Ian Tenney
Patrick Xia
Berlin Chen
Alex Jinpeng Wang
Adam Poliak
...
Najoung Kim
Benjamin Van Durme
Samuel R. Bowman
Dipanjan Das
Ellie Pavlick
91
848
0
15 May 2019
Probing What Different NLP Tasks Teach Machines about Function Word
  Comprehension
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension
Najoung Kim
Roma Patel
Adam Poliak
Alex Jinpeng Wang
Patrick Xia
...
Alexis Ross
Tal Linzen
Benjamin Van Durme
Samuel R. Bowman
Ellie Pavlick
28
106
0
25 Apr 2019
Analyzing and Interpreting Neural Networks for NLP: A Report on the
  First BlackboxNLP Workshop
Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop
A. Alishahi
Grzegorz Chrupała
Tal Linzen
NAI
MILM
17
63
0
05 Apr 2019
Linguistic generalization and compositionality in modern artificial
  neural networks
Linguistic generalization and compositionality in modern artificial neural networks
Marco Baroni
AI4CE
34
147
0
30 Mar 2019
The emergence of number and syntax units in LSTM language models
The emergence of number and syntax units in LSTM language models
Yair Lakretz
Germán Kruszewski
T. Desbordes
Dieuwke Hupkes
S. Dehaene
Marco Baroni
14
167
0
18 Mar 2019
Studying the Inductive Biases of RNNs with Synthetic Variations of
  Natural Languages
Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages
Shauli Ravfogel
Yoav Goldberg
Tal Linzen
25
70
0
15 Mar 2019
Neural Language Models as Psycholinguistic Subjects: Representations of
  Syntactic State
Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State
Richard Futrell
Ethan Gotlieb Wilcox
Takashi Morita
Peng Qian
Miguel Ballesteros
R. Levy
MILM
42
191
0
08 Mar 2019
Structural Supervision Improves Learning of Non-Local Grammatical
  Dependencies
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
Ethan Gotlieb Wilcox
Peng Qian
Richard Futrell
Miguel Ballesteros
R. Levy
26
55
0
03 Mar 2019
Recursive Subtree Composition in LSTM-Based Dependency Parsing
Recursive Subtree Composition in LSTM-Based Dependency Parsing
Miryam de Lhoneux
Miguel Ballesteros
Joakim Nivre
14
13
0
26 Feb 2019
Pretrained language model transfer on neural named entity recognition in
  Indonesian conversational texts
Pretrained language model transfer on neural named entity recognition in Indonesian conversational texts
Rezka Leonandya
Fariz Ikhwantri
24
4
0
21 Feb 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural
  Language Inference
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
R. Thomas McCoy
Ellie Pavlick
Tal Linzen
69
1,217
0
04 Feb 2019
Assessing BERT's Syntactic Abilities
Assessing BERT's Syntactic Abilities
Yoav Goldberg
8
494
0
16 Jan 2019
Analysis Methods in Neural Language Processing: A Survey
Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
James R. Glass
39
547
0
21 Dec 2018
The Best of Both Worlds: Lexical Resources To Improve Low-Resource
  Part-of-Speech Tagging
The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging
Barbara Plank
Sigrid Klerke
Zeljko Agic
NAI
57
4
0
21 Nov 2018
Do RNNs learn human-like abstract word order preferences?
Do RNNs learn human-like abstract word order preferences?
Ainesh Bakshi
R. Levy
25
27
0
05 Nov 2018
Counting in Language with RNNs
He Fun
Sergiy V. Bokhnyak
Francesco Saverio Zuppichini
18
0
0
29 Oct 2018
Can Entropy Explain Successor Surprisal Effects in Reading?
Can Entropy Explain Successor Surprisal Effects in Reading?
Marten van Schijndel
Tal Linzen
9
12
0
26 Oct 2018
Ordered Neurons: Integrating Tree Structures into Recurrent Neural
  Networks
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Songlin Yang
Shawn Tan
Alessandro Sordoni
Aaron Courville
32
323
0
22 Oct 2018
Predicting the Argumenthood of English Prepositional Phrases
Predicting the Argumenthood of English Prepositional Phrases
Najoung Kim
Kyle Rawlins
Benjamin Van Durme
P. Smolensky
50
6
0
20 Sep 2018
What can linguistics and deep learning contribute to each other?
What can linguistics and deep learning contribute to each other?
Tal Linzen
21
40
0
11 Sep 2018
Can LSTM Learn to Capture Agreement? The Case of Basque
Can LSTM Learn to Capture Agreement? The Case of Basque
Shauli Ravfogel
Francis M. Tyers
Yoav Goldberg
30
43
0
11 Sep 2018
RNNs as psycholinguistic subjects: Syntactic state and grammatical
  dependency
RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency
Richard Futrell
Ethan Gotlieb Wilcox
Takashi Morita
R. Levy
16
57
0
05 Sep 2018
What do RNN Language Models Learn about Filler-Gap Dependencies?
What do RNN Language Models Learn about Filler-Gap Dependencies?
Ethan Gotlieb Wilcox
R. Levy
Takashi Morita
Richard Futrell
LRM
34
166
0
31 Aug 2018
Do Language Models Understand Anything? On the Ability of LSTMs to
  Understand Negative Polarity Items
Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items
Jaap Jumelet
Dieuwke Hupkes
8
63
0
31 Aug 2018
A Neural Model of Adaptation in Reading
A Neural Model of Adaptation in Reading
Marten van Schijndel
Tal Linzen
27
62
0
29 Aug 2018
Targeted Syntactic Evaluation of Language Models
Targeted Syntactic Evaluation of Language Models
Rebecca Marvin
Tal Linzen
31
408
0
27 Aug 2018
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve
  how Language Models Track Agreement Information
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information
Mario Giulianelli
J. Harding
Florian Mohnert
Dieuwke Hupkes
Willem H. Zuidema
27
189
0
24 Aug 2018
Distinct patterns of syntactic agreement errors in recurrent networks
  and humans
Distinct patterns of syntactic agreement errors in recurrent networks and humans
Tal Linzen
Brian Leonard
11
46
0
18 Jul 2018
LSTMs Exploit Linguistic Attributes of Data
LSTMs Exploit Linguistic Attributes of Data
Nelson F. Liu
Omer Levy
Roy Schwartz
Chenhao Tan
Noah A. Smith
17
15
0
29 May 2018
Learning compositionally through attentive guidance
Learning compositionally through attentive guidance
Dieuwke Hupkes
Anand Singh
K. Korrel
Germán Kruszewski
Elia Bruni
CoGe
27
30
0
20 May 2018
Deep RNNs Encode Soft Hierarchical Syntax
Deep RNNs Encode Soft Hierarchical Syntax
Terra Blevins
Omer Levy
Luke Zettlemoyer
32
110
0
11 May 2018
The Fine Line between Linguistic Generalization and Failure in
  Seq2Seq-Attention Models
The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models
Noah Weber
L. Shekhar
Niranjan Balasubramanian
102
30
0
03 May 2018
The Importance of Being Recurrent for Modeling Hierarchical Structure
The Importance of Being Recurrent for Modeling Hierarchical Structure
Ke M. Tran
Arianna Bisazza
Christof Monz
40
150
0
09 Mar 2018
Universal Language Model Fine-tuning for Text Classification
Universal Language Model Fine-tuning for Text Classification
Jeremy Howard
Sebastian Ruder
VLM
29
274
0
18 Jan 2018
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
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