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Assessing BERT's Syntactic Abilities

Assessing BERT's Syntactic Abilities

16 January 2019
Yoav Goldberg
ArXivPDFHTML

Papers citing "Assessing BERT's Syntactic Abilities"

38 / 138 papers shown
Title
On the Robustness of Language Encoders against Grammatical Errors
On the Robustness of Language Encoders against Grammatical Errors
Fan Yin
Quanyu Long
Tao Meng
Kai-Wei Chang
39
34
0
12 May 2020
A Systematic Assessment of Syntactic Generalization in Neural Language
  Models
A Systematic Assessment of Syntactic Generalization in Neural Language Models
Jennifer Hu
Jon Gauthier
Peng Qian
Ethan Gotlieb Wilcox
R. Levy
ELM
37
214
0
07 May 2020
Spying on your neighbors: Fine-grained probing of contextual embeddings
  for information about surrounding words
Spying on your neighbors: Fine-grained probing of contextual embeddings for information about surrounding words
Josef Klafka
Allyson Ettinger
60
43
0
04 May 2020
The Sensitivity of Language Models and Humans to Winograd Schema
  Perturbations
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations
Mostafa Abdou
Vinit Ravishankar
Maria Barrett
Yonatan Belinkov
Desmond Elliott
Anders Søgaard
ReLM
LRM
62
34
0
04 May 2020
When BERT Plays the Lottery, All Tickets Are Winning
When BERT Plays the Lottery, All Tickets Are Winning
Sai Prasanna
Anna Rogers
Anna Rumshisky
MILM
30
187
0
01 May 2020
Cross-Linguistic Syntactic Evaluation of Word Prediction Models
Cross-Linguistic Syntactic Evaluation of Word Prediction Models
Aaron Mueller
Garrett Nicolai
Panayiota Petrou-Zeniou
N. Talmina
Tal Linzen
27
55
0
01 May 2020
Quantifying the Contextualization of Word Representations with Semantic
  Class Probing
Quantifying the Contextualization of Word Representations with Semantic Class Probing
Mengjie Zhao
Philipp Dufter
Yadollah Yaghoobzadeh
Hinrich Schütze
30
27
0
25 Apr 2020
Syntactic Data Augmentation Increases Robustness to Inference Heuristics
Syntactic Data Augmentation Increases Robustness to Inference Heuristics
Junghyun Min
R. Thomas McCoy
Dipanjan Das
Emily Pitler
Tal Linzen
44
177
0
24 Apr 2020
Syntactic Structure from Deep Learning
Syntactic Structure from Deep Learning
Tal Linzen
Marco Baroni
NAI
25
181
0
22 Apr 2020
Null It Out: Guarding Protected Attributes by Iterative Nullspace
  Projection
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection
Shauli Ravfogel
Yanai Elazar
Hila Gonen
Michael Twiton
Yoav Goldberg
54
374
0
16 Apr 2020
Unsupervised Domain Clusters in Pretrained Language Models
Unsupervised Domain Clusters in Pretrained Language Models
Roee Aharoni
Yoav Goldberg
48
246
0
05 Apr 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
259
1,460
0
18 Mar 2020
A Primer in BERTology: What we know about how BERT works
A Primer in BERTology: What we know about how BERT works
Anna Rogers
Olga Kovaleva
Anna Rumshisky
OffRL
35
1,477
0
27 Feb 2020
Parsing as Pretraining
Parsing as Pretraining
David Vilares
Michalina Strzyz
Anders Søgaard
Carlos Gómez-Rodríguez
51
31
0
05 Feb 2020
Are Pre-trained Language Models Aware of Phrases? Simple but Strong
  Baselines for Grammar Induction
Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction
Taeuk Kim
Jihun Choi
Daniel Edmiston
Sang-goo Lee
27
90
0
30 Jan 2020
oLMpics -- On what Language Model Pre-training Captures
oLMpics -- On what Language Model Pre-training Captures
Alon Talmor
Yanai Elazar
Yoav Goldberg
Jonathan Berant
LRM
39
301
0
31 Dec 2019
Adversarial Analysis of Natural Language Inference Systems
Adversarial Analysis of Natural Language Inference Systems
Tiffany Chien
Jugal Kalita
AAML
44
12
0
07 Dec 2019
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and Survey
Felix Stahlberg
3DV
AI4TS
MedIm
47
314
0
04 Dec 2019
Inducing Relational Knowledge from BERT
Inducing Relational Knowledge from BERT
Zied Bouraoui
Jose Camacho-Collados
Steven Schockaert
38
167
0
28 Nov 2019
Question Generation from Paragraphs: A Tale of Two Hierarchical Models
Question Generation from Paragraphs: A Tale of Two Hierarchical Models
Vishwajeet Kumar
Raktim Chaki
Sai Teja Talluri
Kristine Newman
Yuan-Fang Li
Gholamreza Haffari
18
5
0
08 Nov 2019
On the Cross-lingual Transferability of Monolingual Representations
On the Cross-lingual Transferability of Monolingual Representations
Mikel Artetxe
Sebastian Ruder
Dani Yogatama
36
786
0
25 Oct 2019
Universal Text Representation from BERT: An Empirical Study
Universal Text Representation from BERT: An Empirical Study
Xiaofei Ma
Zhiguo Wang
Patrick Ng
Ramesh Nallapati
Bing Xiang
OOD
24
66
0
17 Oct 2019
Biomedical relation extraction with pre-trained language representations
  and minimal task-specific architecture
Biomedical relation extraction with pre-trained language representations and minimal task-specific architecture
Ashok Thillaisundaram
Theodosia Togia
34
17
0
26 Sep 2019
Say Anything: Automatic Semantic Infelicity Detection in L2 English
  Indefinite Pronouns
Say Anything: Automatic Semantic Infelicity Detection in L2 English Indefinite Pronouns
Ella Rabinovich
Julia Watson
Barend Beekhuizen
S. Stevenson
30
3
0
17 Sep 2019
Probing Natural Language Inference Models through Semantic Fragments
Probing Natural Language Inference Models through Semantic Fragments
Kyle Richardson
Hai Hu
L. Moss
Ashish Sabharwal
24
148
0
16 Sep 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
472
2,618
0
03 Sep 2019
Compositionality decomposed: how do neural networks generalise?
Compositionality decomposed: how do neural networks generalise?
Dieuwke Hupkes
Verna Dankers
Mathijs Mul
Elia Bruni
CoGe
44
326
0
22 Aug 2019
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based
  Dependency Parsing -- A Tale of Two Parsers Revisited
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing -- A Tale of Two Parsers Revisited
Artur Kulmizev
Miryam de Lhoneux
Johannes Gontrum
Elena Fano
Joakim Nivre
43
56
0
20 Aug 2019
Visualizing and Understanding the Effectiveness of BERT
Visualizing and Understanding the Effectiveness of BERT
Y. Hao
Li Dong
Furu Wei
Ke Xu
31
183
0
15 Aug 2019
What BERT is not: Lessons from a new suite of psycholinguistic
  diagnostics for language models
What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models
Allyson Ettinger
30
600
0
31 Jul 2019
Scalable Syntax-Aware Language Models Using Knowledge Distillation
Scalable Syntax-Aware Language Models Using Knowledge Distillation
A. Kuncoro
Chris Dyer
Laura Rimell
S. Clark
Phil Blunsom
40
26
0
14 Jun 2019
What Does BERT Look At? An Analysis of BERT's Attention
What Does BERT Look At? An Analysis of BERT's Attention
Kevin Clark
Urvashi Khandelwal
Omer Levy
Christopher D. Manning
MILM
159
1,591
0
11 Jun 2019
A Survey of Reinforcement Learning Informed by Natural Language
A Survey of Reinforcement Learning Informed by Natural Language
Jelena Luketina
Nantas Nardelli
Gregory Farquhar
Jakob N. Foerster
Jacob Andreas
Edward Grefenstette
Shimon Whiteson
Tim Rocktaschel
LM&Ro
KELM
OffRL
LRM
33
279
0
10 Jun 2019
Analyzing the Structure of Attention in a Transformer Language Model
Analyzing the Structure of Attention in a Transformer Language Model
Jesse Vig
Yonatan Belinkov
30
360
0
07 Jun 2019
Interpreting and improving natural-language processing (in machines)
  with natural language-processing (in the brain)
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
Mariya Toneva
Leila Wehbe
MILM
AI4CE
47
223
0
28 May 2019
75 Languages, 1 Model: Parsing Universal Dependencies Universally
75 Languages, 1 Model: Parsing Universal Dependencies Universally
Dan Kondratyuk
Milan Straka
44
264
0
03 Apr 2019
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
Raphael Tang
Yao Lu
Linqing Liu
Lili Mou
Olga Vechtomova
Jimmy J. Lin
32
418
0
28 Mar 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
74
1,224
0
04 Feb 2019
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