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Neural Network Acceptability Judgments

Neural Network Acceptability Judgments

31 May 2018
Alex Warstadt
Amanpreet Singh
Samuel R. Bowman
ArXivPDFHTML

Papers citing "Neural Network Acceptability Judgments"

30 / 880 papers shown
Title
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for
  Natural Language Processing
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
Jianquan Li
Xiaokang Liu
Wenpeng Yin
Min Yang
Liqun Ma
Yaohong Jin
AIMat
30
13
0
16 Aug 2019
StructBERT: Incorporating Language Structures into Pre-training for Deep
  Language Understanding
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding
Wei Wang
Bin Bi
Ming Yan
Chen Henry Wu
Zuyi Bao
Jiangnan Xia
Liwei Peng
Luo Si
20
260
0
13 Aug 2019
On Identifiability in Transformers
On Identifiability in Transformers
Gino Brunner
Yang Liu
Damian Pascual
Oliver Richter
Massimiliano Ciaramita
Roger Wattenhofer
ViT
30
186
0
12 Aug 2019
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
Yu Sun
Shuohuan Wang
Yukun Li
Shikun Feng
Hao Tian
Hua Wu
Haifeng Wang
CLL
30
799
0
29 Jul 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
132
23,915
0
26 Jul 2019
SpanBERT: Improving Pre-training by Representing and Predicting Spans
SpanBERT: Improving Pre-training by Representing and Predicting Spans
Mandar Joshi
Danqi Chen
Yinhan Liu
Daniel S. Weld
Luke Zettlemoyer
Omer Levy
22
1,945
0
24 Jul 2019
A Pragmatics-Centered Evaluation Framework for Natural Language
  Understanding
A Pragmatics-Centered Evaluation Framework for Natural Language Understanding
Damien Sileo
Tim Van de Cruys
Camille Pradel
Philippe Muller
ELM
17
3
0
19 Jul 2019
BAM! Born-Again Multi-Task Networks for Natural Language Understanding
BAM! Born-Again Multi-Task Networks for Natural Language Understanding
Kevin Clark
Minh-Thang Luong
Urvashi Khandelwal
Christopher D. Manning
Quoc V. Le
21
228
0
10 Jul 2019
A Comparative Analysis of Knowledge-Intensive and Data-Intensive
  Semantic Parsers
A Comparative Analysis of Knowledge-Intensive and Data-Intensive Semantic Parsers
Junjie Cao
Zi-yu Lin
Weiwei SUN
Xiaojun Wan
16
1
0
04 Jul 2019
Understanding and Improving Transformer From a Multi-Particle Dynamic
  System Point of View
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View
Yiping Lu
Zhuohan Li
Di He
Zhiqing Sun
Bin Dong
Tao Qin
Liwei Wang
Tie-Yan Liu
AI4CE
24
168
0
06 Jun 2019
Are Sixteen Heads Really Better than One?
Are Sixteen Heads Really Better than One?
Paul Michel
Omer Levy
Graham Neubig
MoE
15
1,038
0
25 May 2019
Human vs. Muppet: A Conservative Estimate of Human Performance on the
  GLUE Benchmark
Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark
Nikita Nangia
Samuel R. Bowman
ELM
ALM
34
75
0
24 May 2019
ERNIE: Enhanced Language Representation with Informative Entities
ERNIE: Enhanced Language Representation with Informative Entities
Zhengyan Zhang
Xu Han
Zhiyuan Liu
Xin Jiang
Maosong Sun
Qun Liu
6
1,383
0
17 May 2019
Unified Language Model Pre-training for Natural Language Understanding
  and Generation
Unified Language Model Pre-training for Natural Language Understanding and Generation
Li Dong
Nan Yang
Wenhui Wang
Furu Wei
Xiaodong Liu
Yu-Chiang Frank Wang
Jianfeng Gao
M. Zhou
H. Hon
ELM
AI4CE
80
1,551
0
08 May 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language
  Understanding Systems
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
Alex Jinpeng Wang
Yada Pruksachatkun
Nikita Nangia
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
49
2,260
0
02 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
105
0
25 Apr 2019
Recent Advances in Natural Language Inference: A Survey of Benchmarks,
  Resources, and Approaches
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches
Shane Storks
Qiaozi Gao
J. Chai
21
128
0
02 Apr 2019
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse
  Tasks
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks
Matthew E. Peters
Sebastian Ruder
Noah A. Smith
39
433
0
14 Mar 2019
Human acceptability judgements for extractive sentence compression
Human acceptability judgements for extractive sentence compression
Abram Handler
Brian Dillon
Brendan O'Connor
24
2
0
01 Feb 2019
Multi-Task Deep Neural Networks for Natural Language Understanding
Multi-Task Deep Neural Networks for Natural Language Understanding
Xiaodong Liu
Pengcheng He
Weizhu Chen
Jianfeng Gao
AI4CE
24
1,261
0
31 Jan 2019
NeuNetS: An Automated Synthesis Engine for Neural Network Design
NeuNetS: An Automated Synthesis Engine for Neural Network Design
Atin Sood
Benjamin Elder
Benjamin Herta
Chao Xue
C. Bekas
...
M. Choudhury
Rong Yan
R. Istrate
Ruchi Puri
Tejaswini Pedapati
SyDa
35
7
0
17 Jan 2019
Linguistic Analysis of Pretrained Sentence Encoders with Acceptability
  Judgments
Linguistic Analysis of Pretrained Sentence Encoders with Acceptability Judgments
Alex Warstadt
Samuel R. Bowman
22
23
0
11 Jan 2019
Can You Tell Me How to Get Past Sesame Street? Sentence-Level
  Pretraining Beyond Language Modeling
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling
Alex Jinpeng Wang
Jan Hula
Patrick Xia
R. Pappagari
R. Thomas McCoy
...
Berlin Chen
Benjamin Van Durme
Edouard Grave
Ellie Pavlick
Samuel R. Bowman
LRM
VLM
20
27
0
28 Dec 2018
Verb Argument Structure Alternations in Word and Sentence Embeddings
Verb Argument Structure Alternations in Word and Sentence Embeddings
Katharina Kann
Alex Warstadt
Adina Williams
Samuel R. Bowman
25
50
0
27 Nov 2018
Sentence Encoders on STILTs: Supplementary Training on Intermediate
  Labeled-data Tasks
Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks
Jason Phang
Thibault Févry
Samuel R. Bowman
27
467
0
02 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
80
93,140
0
11 Oct 2018
Targeted Syntactic Evaluation of Language Models
Targeted Syntactic Evaluation of Language Models
Rebecca Marvin
Tal Linzen
31
408
0
27 Aug 2018
Unsupervised Learning of Sentence Representations Using Sequence
  Consistency
Unsupervised Learning of Sentence Representations Using Sequence Consistency
Siddhartha Brahma
SSL
21
8
0
10 Aug 2018
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
883
0
03 May 2018
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
299
6,984
0
20 Apr 2018
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