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A Systematic Assessment of Syntactic Generalization in Neural Language
  Models

A Systematic Assessment of Syntactic Generalization in Neural Language Models

7 May 2020
Jennifer Hu
Jon Gauthier
Peng Qian
Ethan Gotlieb Wilcox
R. Levy
    ELM
ArXivPDFHTML

Papers citing "A Systematic Assessment of Syntactic Generalization in Neural Language Models"

26 / 126 papers shown
Title
Effective Batching for Recurrent Neural Network Grammars
Effective Batching for Recurrent Neural Network Grammars
Hiroshi Noji
Yohei Oseki
GNN
18
16
0
31 May 2021
Language Models Use Monotonicity to Assess NPI Licensing
Language Models Use Monotonicity to Assess NPI Licensing
Jaap Jumelet
Milica Denić
Jakub Szymanik
Dieuwke Hupkes
Shane Steinert-Threlkeld
KELM
21
28
0
28 May 2021
How is BERT surprised? Layerwise detection of linguistic anomalies
How is BERT surprised? Layerwise detection of linguistic anomalies
Bai Li
Zining Zhu
Guillaume Thomas
Yang Xu
Frank Rudzicz
27
31
0
16 May 2021
Assessing the Syntactic Capabilities of Transformer-based Multilingual
  Language Models
Assessing the Syntactic Capabilities of Transformer-based Multilingual Language Models
Laura Pérez-Mayos
Alba Táboas García
Simon Mille
Leo Wanner
ELM
LRM
18
8
0
10 May 2021
Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction
  from Language Models
Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models
Anne Beyer
Sharid Loáiciga
David Schlangen
27
15
0
07 May 2021
Improving BERT Pretraining with Syntactic Supervision
Improving BERT Pretraining with Syntactic Supervision
Georgios Tziafas
Konstantinos Kogkalidis
G. Wijnholds
M. Moortgat
35
3
0
21 Apr 2021
Refining Targeted Syntactic Evaluation of Language Models
Refining Targeted Syntactic Evaluation of Language Models
Benjamin Newman
Kai-Siang Ang
Julia Gong
John Hewitt
29
43
0
19 Apr 2021
Vyākarana: A Colorless Green Benchmark for Syntactic Evaluation in
  Indic Languages
Vyākarana: A Colorless Green Benchmark for Syntactic Evaluation in Indic Languages
Rajaswa Patil
Jasleen Dhillon
Siddhant Mahurkar
Saumitra Kulkarni
M. Malhotra
V. Baths
17
1
0
01 Mar 2021
Enhancing the Transformer Decoder with Transition-based Syntax
Enhancing the Transformer Decoder with Transition-based Syntax
Leshem Choshen
Omri Abend
33
1
0
29 Jan 2021
CLiMP: A Benchmark for Chinese Language Model Evaluation
CLiMP: A Benchmark for Chinese Language Model Evaluation
Beilei Xiang
Changbing Yang
Yu Li
Alex Warstadt
Katharina Kann
ALM
19
38
0
26 Jan 2021
Disentangling semantics in language through VAEs and a certain
  architectural choice
Disentangling semantics in language through VAEs and a certain architectural choice
G. Felhi
Joseph Le Roux
Djamé Seddah
CoGe
DRL
14
1
0
24 Dec 2020
StructFormer: Joint Unsupervised Induction of Dependency and
  Constituency Structure from Masked Language Modeling
StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling
Yikang Shen
Yi Tay
Che Zheng
Dara Bahri
Donald Metzler
Aaron Courville
6
41
0
01 Dec 2020
When Do You Need Billions of Words of Pretraining Data?
When Do You Need Billions of Words of Pretraining Data?
Yian Zhang
Alex Warstadt
Haau-Sing Li
Samuel R. Bowman
26
136
0
10 Nov 2020
A Closer Look at Linguistic Knowledge in Masked Language Models: The
  Case of Relative Clauses in American English
A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English
Marius Mosbach
Stefania Degaetano-Ortlieb
Marie-Pauline Krielke
Badr M. Abdullah
Dietrich Klakow
22
6
0
02 Nov 2020
Explicitly Modeling Syntax in Language Models with Incremental Parsing
  and a Dynamic Oracle
Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle
Yikang Shen
Shawn Tan
Alessandro Sordoni
Siva Reddy
Aaron C. Courville
19
5
0
21 Oct 2020
Structural Supervision Improves Few-Shot Learning and Syntactic
  Generalization in Neural Language Models
Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models
Ethan Gotlieb Wilcox
Peng Qian
Richard Futrell
Ryosuke Kohita
R. Levy
Miguel Ballesteros
NAI
15
10
0
12 Oct 2020
Learning Which Features Matter: RoBERTa Acquires a Preference for
  Linguistic Generalizations (Eventually)
Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually)
Alex Warstadt
Yian Zhang
Haau-Sing Li
Haokun Liu
Samuel R. Bowman
SSL
AI4CE
37
21
0
11 Oct 2020
Discourse structure interacts with reference but not syntax in neural
  language models
Discourse structure interacts with reference but not syntax in neural language models
Forrest Davis
Marten van Schijndel
6
20
0
10 Oct 2020
Learning Context-Free Languages with Nondeterministic Stack RNNs
Learning Context-Free Languages with Nondeterministic Stack RNNs
Brian DuSell
David Chiang
13
13
0
09 Oct 2020
Recurrent babbling: evaluating the acquisition of grammar from limited
  input data
Recurrent babbling: evaluating the acquisition of grammar from limited input data
Ludovica Pannitto
Aurélie Herbelot
12
13
0
09 Oct 2020
Probabilistic Predictions of People Perusing: Evaluating Metrics of
  Language Model Performance for Psycholinguistic Modeling
Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling
Sophie Hao
S. Mendelsohn
Rachel Sterneck
Randi Martinez
Robert Frank
11
46
0
08 Sep 2020
Discovering Useful Sentence Representations from Large Pretrained
  Language Models
Discovering Useful Sentence Representations from Large Pretrained Language Models
Nishant Subramani
Nivedita Suresh
6
5
0
20 Aug 2020
On the Predictive Power of Neural Language Models for Human Real-Time
  Comprehension Behavior
On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior
Ethan Gotlieb Wilcox
Jon Gauthier
Jennifer Hu
Peng Qian
R. Levy
9
158
0
02 Jun 2020
Syntactic Structure Distillation Pretraining For Bidirectional Encoders
Syntactic Structure Distillation Pretraining For Bidirectional Encoders
A. Kuncoro
Lingpeng Kong
Daniel Fried
Dani Yogatama
Laura Rimell
Chris Dyer
Phil Blunsom
31
33
0
27 May 2020
Discovering the Compositional Structure of Vector Representations with
  Role Learning Networks
Discovering the Compositional Structure of Vector Representations with Role Learning Networks
Paul Soulos
R. Thomas McCoy
Tal Linzen
P. Smolensky
CoGe
29
43
0
21 Oct 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,959
0
20 Apr 2018
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