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GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
v1v2v3 (latest)

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

20 April 2018
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
    ELM
ArXiv (abs)PDFHTML

Papers citing "GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding"

50 / 4,811 papers shown
StructBERT: Incorporating Language Structures into Pre-training for Deep
  Language Understanding
StructBERT: Incorporating Language Structures into Pre-training for Deep Language UnderstandingInternational Conference on Learning Representations (ICLR), 2019
Wei Wang
Bin Bi
Ming Yan
Chen Henry Wu
Zuyi Bao
Jiangnan Xia
Liwei Peng
Luo Si
254
289
0
13 Aug 2019
On Identifiability in Transformers
On Identifiability in TransformersInternational Conference on Learning Representations (ICLR), 2019
Gino Brunner
Yang Liu
Damian Pascual
Oliver Richter
Massimiliano Ciaramita
Roger Wattenhofer
ViT
334
202
0
12 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 modelsTransactions of the Association for Computational Linguistics (TACL), 2019
Allyson Ettinger
356
641
0
31 Jul 2019
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
ERNIE 2.0: A Continual Pre-training Framework for Language UnderstandingAAAI Conference on Artificial Intelligence (AAAI), 2019
Yu Sun
Shuohuan Wang
Yukun Li
Shikun Feng
Hao Tian
Hua Wu
Haifeng Wang
CLL
420
864
0
29 Jul 2019
A Hybrid Neural Network Model for Commonsense Reasoning
A Hybrid Neural Network Model for Commonsense ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Pengcheng He
Xiaodong Liu
Weizhu Chen
Jianfeng Gao
LRM
200
29
0
27 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
4.0K
28,140
0
26 Jul 2019
Careful Selection of Knowledge to solve Open Book Question Answering
Careful Selection of Knowledge to solve Open Book Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Pratyay Banerjee
Kuntal Kumar Pal
Arindam Mitra
Chitta Baral
175
70
0
24 Jul 2019
Generic Intent Representation in Web Search
Generic Intent Representation in Web SearchAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019
Hongfei Zhang
Xia Song
Chenyan Xiong
Corby Rosset
Paul N. Bennett
Nick Craswell
Saurabh Tiwary
252
56
0
24 Jul 2019
SpanBERT: Improving Pre-training by Representing and Predicting Spans
SpanBERT: Improving Pre-training by Representing and Predicting SpansTransactions of the Association for Computational Linguistics (TACL), 2019
Mandar Joshi
Danqi Chen
Yinhan Liu
Daniel S. Weld
Luke Zettlemoyer
Omer Levy
622
2,106
0
24 Jul 2019
Green AI
Green AI
Roy Schwartz
Jesse Dodge
Noah A. Smith
Oren Etzioni
861
1,429
0
22 Jul 2019
A Pragmatics-Centered Evaluation Framework for Natural Language
  Understanding
A Pragmatics-Centered Evaluation Framework for Natural Language UnderstandingInternational Conference on Language Resources and Evaluation (LREC), 2019
Damien Sileo
Tim Van de Cruys
Camille Pradel
Philippe Muller
ELM
144
3
0
19 Jul 2019
Task Selection Policies for Multitask Learning
Task Selection Policies for Multitask Learning
John Glover
Chris Hokamp
OffRL
176
7
0
14 Jul 2019
BAM! Born-Again Multi-Task Networks for Natural Language Understanding
BAM! Born-Again Multi-Task Networks for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Kevin Clark
Minh-Thang Luong
Urvashi Khandelwal
Christopher D. Manning
Quoc V. Le
221
237
0
10 Jul 2019
Large Memory Layers with Product Keys
Large Memory Layers with Product KeysNeural Information Processing Systems (NeurIPS), 2019
Guillaume Lample
Alexandre Sablayrolles
MarcÁurelio Ranzato
Ludovic Denoyer
Edouard Grave
MoE
246
154
0
10 Jul 2019
Don't Take the Premise for Granted: Mitigating Artifacts in Natural
  Language Inference
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Yonatan Belinkov
Adam Poliak
Stuart M. Shieber
Benjamin Van Durme
Alexander M. Rush
254
97
0
09 Jul 2019
To Tune or Not To Tune? How About the Best of Both Worlds?
To Tune or Not To Tune? How About the Best of Both Worlds?
Ran A. Wang
Haibo Su
Chunye Wang
Kailin Ji
J. Ding
VLM
143
17
0
09 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
126
1
0
04 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language UnderstandingNeural Information Processing Systems (NeurIPS), 2019
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
947
9,121
0
19 Jun 2019
PyRobot: An Open-source Robotics Framework for Research and Benchmarking
PyRobot: An Open-source Robotics Framework for Research and Benchmarking
Adithyavairavan Murali
Tao Chen
Kalyan Vasudev Alwala
Dhiraj Gandhi
Lerrel Pinto
Saurabh Gupta
Abhinav Gupta
198
113
0
19 Jun 2019
Evaluating Protein Transfer Learning with TAPE
Evaluating Protein Transfer Learning with TAPEbioRxiv (bioRxiv), 2019
Roshan Rao
Nicholas Bhattacharya
Neil Thomas
Yan Duan
Xi Chen
John F. Canny
Pieter Abbeel
Yun S. Song
SSL
234
934
0
19 Jun 2019
Unsupervised State Representation Learning in Atari
Unsupervised State Representation Learning in AtariNeural Information Processing Systems (NeurIPS), 2019
Ankesh Anand
Evan Racah
Sherjil Ozair
Yoshua Bengio
Marc-Alexandre Côté
R. Devon Hjelm
SSL
524
270
0
19 Jun 2019
Surf at MEDIQA 2019: Improving Performance of Natural Language Inference
  in the Clinical Domain by Adopting Pre-trained Language Model
Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model
Jiin Nam
Seunghyun Yoon
Kyomin Jung
LM&MA
126
3
0
19 Jun 2019
Can neural networks understand monotonicity reasoning?
Can neural networks understand monotonicity reasoning?
Hitomi Yanaka
K. Mineshima
D. Bekki
Kentaro Inui
Satoshi Sekine
Lasha Abzianidze
Johan Bos
LRM
259
87
0
15 Jun 2019
A Simple and Effective Approach to Automatic Post-Editing with Transfer
  Learning
A Simple and Effective Approach to Automatic Post-Editing with Transfer LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Gonçalo M. Correia
André F. T. Martins
101
44
0
14 Jun 2019
Transfer Learning in Biomedical Natural Language Processing: An
  Evaluation of BERT and ELMo on Ten Benchmarking Datasets
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets
Yifan Peng
Shankai Yan
Zhiyong Lu
LM&MAAI4MH
397
941
0
13 Jun 2019
Continual and Multi-Task Architecture Search
Continual and Multi-Task Architecture SearchAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Ramakanth Pasunuru
Joey Tianyi Zhou
CLL
180
51
0
12 Jun 2019
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for
  Natural Language Understanding in the Medical Domain
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain
Yichong Xu
Xiaodong Liu
Chunyuan Li
Hoifung Poon
Jianfeng Gao
MedIm
161
15
0
11 Jun 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
244
205
0
06 Jun 2019
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Explain Yourself! Leveraging Language Models for Commonsense ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Nazneen Rajani
Bryan McCann
Caiming Xiong
R. Socher
ReLMLRM
419
616
0
06 Jun 2019
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in
  Pretrained Embeddings
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Vihari Piratla
Sunita Sarawagi
Soumen Chakrabarti
CLL
169
0
0
05 Jun 2019
The Unreasonable Effectiveness of Transformer Language Models in
  Grammatical Error Correction
The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction
Dimitrios Alikaniotis
Vipul Raheja
104
25
0
04 Jun 2019
KERMIT: Generative Insertion-Based Modeling for Sequences
KERMIT: Generative Insertion-Based Modeling for Sequences
William Chan
Nikita Kitaev
Kelvin Guu
Mitchell Stern
Jakob Uszkoreit
VLM
190
65
0
04 Jun 2019
Pretraining Methods for Dialog Context Representation Learning
Pretraining Methods for Dialog Context Representation LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Shikib Mehri
E. Razumovskaia
Tiancheng Zhao
M. Eskénazi
257
85
0
02 Jun 2019
Efficient Adaptation of Pretrained Transformers for Abstractive
  Summarization
Efficient Adaptation of Pretrained Transformers for Abstractive Summarization
Andrew Hoang
Antoine Bosselut
Asli Celikyilmaz
Yejin Choi
173
44
0
01 Jun 2019
Pre-Training Graph Neural Networks for Generic Structural Feature
  Extraction
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction
Ziniu Hu
Changjun Fan
Ting-Li Chen
Kai-Wei Chang
Luke Huan
138
47
0
31 May 2019
MultiQA: An Empirical Investigation of Generalization and Transfer in
  Reading Comprehension
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Alon Talmor
Jonathan Berant
222
175
0
31 May 2019
A Compare-Aggregate Model with Latent Clustering for Answer Selection
A Compare-Aggregate Model with Latent Clustering for Answer SelectionInternational Conference on Information and Knowledge Management (CIKM), 2019
Seunghyun Yoon
Franck Dernoncourt
Doo Soon Kim
Trung Bui
Kyomin Jung
166
69
0
30 May 2019
Defending Against Neural Fake News
Defending Against Neural Fake NewsNeural Information Processing Systems (NeurIPS), 2019
Rowan Zellers
Ari Holtzman
Hannah Rashkin
Yonatan Bisk
Ali Farhadi
Franziska Roesner
Yejin Choi
AAML
402
1,161
0
29 May 2019
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution
  Pruning
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution PruningInternational Journal of Computer Vision (IJCV), 2019
Xiawu Zheng
Chenyi Yang
Shaokun Zhang
Yan Wang
Baochang Zhang
Yongjian Wu
Yunsheng Wu
Ling Shao
Rongrong Ji
243
27
0
28 May 2019
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and
  Question Answering
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering
Jasdeep Singh
Bryan McCann
N. Keskar
Caiming Xiong
R. Socher
ELM
144
84
0
27 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 BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Nikita Nangia
Samuel R. Bowman
ELMALM
340
76
0
24 May 2019
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No QuestionsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019
Christopher Clark
Kenton Lee
Ming-Wei Chang
Tom Kwiatkowski
Michael Collins
Kristina Toutanova
681
2,068
0
24 May 2019
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for
  Investigating Learned Representations
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Investigating Learned RepresentationsInternational Conference on Image Analysis and Processing (ICIAP), 2019
J. Livezey
Ahyeon Hwang
Jacob Yeung
K. Bouchard
270
0
0
23 May 2019
Story Ending Prediction by Transferable BERT
Story Ending Prediction by Transferable BERTInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Zhongyang Li
Xiao Ding
Ting Liu
241
54
0
17 May 2019
ERNIE: Enhanced Language Representation with Informative Entities
ERNIE: Enhanced Language Representation with Informative EntitiesAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Zhengyan Zhang
Xu Han
Zhiyuan Liu
Xin Jiang
Maosong Sun
Qun Liu
417
1,523
0
17 May 2019
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 representationsInternational Conference on Learning Representations (ICLR), 2019
Ian Tenney
Patrick Xia
Berlin Chen
Alex Jinpeng Wang
Adam Poliak
...
Najoung Kim
Benjamin Van Durme
Samuel R. Bowman
Dipanjan Das
Ellie Pavlick
515
921
0
15 May 2019
A Surprisingly Robust Trick for Winograd Schema Challenge
A Surprisingly Robust Trick for Winograd Schema ChallengeAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Vid Kocijan
Ana-Maria Cretu
Oana-Maria Camburu
Yordan Yordanov
Thomas Lukasiewicz
186
104
0
15 May 2019
The Algonauts Project: A Platform for Communication between the Sciences
  of Biological and Artificial Intelligence
The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence
Radoslaw Martin Cichy
Gemma Roig
A. Andonian
Kshitij Dwivedi
B. Lahner
A. Lascelles
Y. Mohsenzadeh
K. Ramakrishnan
A. Oliva
188
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Survey on Evaluation Methods for Dialogue Systems
Survey on Evaluation Methods for Dialogue SystemsArtificial Intelligence Review (AIR), 2019
Jan Deriu
Álvaro Rodrigo
Arantxa Otegi
Guillermo Echegoyen
S. Rosset
Eneko Agirre
Mark Cieliebak
278
322
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Unified Language Model Pre-training for Natural Language Understanding
  and Generation
Unified Language Model Pre-training for Natural Language Understanding and GenerationNeural Information Processing Systems (NeurIPS), 2019
Li Dong
Nan Yang
Wenhui Wang
Furu Wei
Xiaodong Liu
Yu Wang
Jianfeng Gao
M. Zhou
H. Hon
ELMAI4CE
677
1,635
0
08 May 2019
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