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A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference

A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

18 April 2017
Adina Williams
Nikita Nangia
Samuel R. Bowman
ArXivPDFHTML

Papers citing "A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference"

50 / 2,725 papers shown
Title
Enhancing AMR-to-Text Generation with Dual Graph Representations
Enhancing AMR-to-Text Generation with Dual Graph Representations
Leonardo F. R. Ribeiro
Claire Gardent
Iryna Gurevych
13
62
0
01 Sep 2019
QuASE: Question-Answer Driven Sentence Encoding
QuASE: Question-Answer Driven Sentence Encoding
Hangfeng He
Qiang Ning
Dan Roth
25
1
0
01 Sep 2019
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and
  Entailment Approach
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach
Wenpeng Yin
Jamaal Hay
Dan Roth
12
540
0
31 Aug 2019
Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs
Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs
Soumya Sharma
Bishal Santra
Abhik Jana
Santosh T.Y.S.S
Niloy Ganguly
Pawan Goyal
19
23
0
31 Aug 2019
A Logic-Driven Framework for Consistency of Neural Models
A Logic-Driven Framework for Consistency of Neural Models
Tao Li
Vivek Gupta
Maitrey Mehta
Vivek Srikumar
AI4CE
29
101
0
31 Aug 2019
Knowledge Enhanced Attention for Robust Natural Language Inference
Knowledge Enhanced Attention for Robust Natural Language Inference
Alexander Hanbo Li
A. Sethy
25
11
0
31 Aug 2019
Unlearn Dataset Bias in Natural Language Inference by Fitting the
  Residual
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual
He He
Sheng Zha
Haohan Wang
22
197
0
28 Aug 2019
Language Tasks and Language Games: On Methodology in Current Natural
  Language Processing Research
Language Tasks and Language Games: On Methodology in Current Natural Language Processing Research
David Schlangen
27
18
0
28 Aug 2019
Investigating Meta-Learning Algorithms for Low-Resource Natural Language
  Understanding Tasks
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks
Zi-Yi Dou
Keyi Yu
Antonios Anastasopoulos
16
126
0
27 Aug 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
87
11,768
0
27 Aug 2019
Patient Knowledge Distillation for BERT Model Compression
Patient Knowledge Distillation for BERT Model Compression
S. Sun
Yu Cheng
Zhe Gan
Jingjing Liu
78
831
0
25 Aug 2019
Well-Read Students Learn Better: On the Importance of Pre-training
  Compact Models
Well-Read Students Learn Better: On the Importance of Pre-training Compact Models
Iulia Turc
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
17
222
0
23 Aug 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
242
321
0
21 Aug 2019
On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word
  Embedding Learning
On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning
Yerai Doval
Jose Camacho-Collados
Luis Espinosa-Anke
Steven Schockaert
SSL
22
21
0
21 Aug 2019
Revealing the Dark Secrets of BERT
Revealing the Dark Secrets of BERT
Olga Kovaleva
Alexey Romanov
Anna Rogers
Anna Rumshisky
13
547
0
21 Aug 2019
CA-EHN: Commonsense Analogy from E-HowNet
CA-EHN: Commonsense Analogy from E-HowNet
Peng-Hsuan Li
Tsan-Yu Yang
Wei-Yun Ma
6
2
0
20 Aug 2019
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
Koustuv Sinha
Shagun Sodhani
Jin Dong
Joelle Pineau
William L. Hamilton
32
199
0
16 Aug 2019
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
Abductive Commonsense Reasoning
Abductive Commonsense Reasoning
Chandra Bhagavatula
Ronan Le Bras
Chaitanya Malaviya
Keisuke Sakaguchi
Ari Holtzman
Hannah Rashkin
Doug Downey
Scott Yih
Yejin Choi
ReLM
LRM
25
452
0
15 Aug 2019
Visualizing and Understanding the Effectiveness of BERT
Visualizing and Understanding the Effectiveness of BERT
Y. Hao
Li Dong
Furu Wei
Ke Xu
27
181
0
15 Aug 2019
Scalable Attentive Sentence-Pair Modeling via Distilled Sentence
  Embedding
Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding
Oren Barkan
Noam Razin
Itzik Malkiel
Ori Katz
Avi Caciularu
Noam Koenigstein
FedML
25
37
0
14 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
22
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
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
S. Rothe
Shashi Narayan
Aliaksei Severyn
SILM
71
433
0
29 Jul 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
44
799
0
29 Jul 2019
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on
  Text Classification and Entailment
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Di Jin
Zhijing Jin
Qiufeng Wang
Peter Szolovits
SILM
AAML
29
1,053
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
171
23,959
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
24
1,945
0
24 Jul 2019
Optimal Transport-based Alignment of Learned Character Representations
  for String Similarity
Optimal Transport-based Alignment of Learned Character Representations for String Similarity
Derek Tam
Nicholas Monath
Ari Kobren
Aaron Traylor
Rajarshi Das
Andrew McCallum
23
15
0
23 Jul 2019
Discourse Marker Augmented Network with Reinforcement Learning for
  Natural Language Inference
Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference
Boyuan Pan
Yazheng Yang
Zhou Zhao
Yueting Zhuang
Deng Cai
Xiaofei He
21
33
0
23 Jul 2019
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact
  Verification
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification
Jie Zhou
Xu Han
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
21
197
0
22 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
25
3
0
19 Jul 2019
Evaluating the Utility of Document Embedding Vector Difference for
  Relation Learning
Evaluating the Utility of Document Embedding Vector Difference for Relation Learning
Jingyuan Zhang
Timothy Baldwin
8
4
0
18 Jul 2019
Probing Neural Network Comprehension of Natural Language Arguments
Probing Neural Network Comprehension of Natural Language Arguments
Timothy Niven
Hung-Yu kao
AAML
45
453
0
17 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
27
228
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 Inference
Yonatan Belinkov
Adam Poliak
Stuart M. Shieber
Benjamin Van Durme
Alexander M. Rush
27
94
0
09 Jul 2019
Multilingual Universal Sentence Encoder for Semantic Retrieval
Multilingual Universal Sentence Encoder for Semantic Retrieval
Yinfei Yang
Daniel Cer
Amin Ahmad
Mandy Guo
Jax Law
...
Steve Yuan
Chris Tar
Yun-hsuan Sung
B. Strope
R. Kurzweil
3DV
26
475
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
36
17
0
09 Jul 2019
Real-time Claim Detection from News Articles and Retrieval of
  Semantically-Similar Factchecks
Real-time Claim Detection from News Articles and Retrieval of Semantically-Similar Factchecks
Ben Adler
Giacomo Boscaini-Gilroy
KELM
16
11
0
03 Jul 2019
Learning Latent Trees with Stochastic Perturbations and Differentiable
  Dynamic Programming
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming
Caio Corro
Ivan Titov
13
17
0
24 Jun 2019
Investigating Biases in Textual Entailment Datasets
Investigating Biases in Textual Entailment Datasets
Shawn Tan
Songlin Yang
Chin-Wei Huang
Aaron Courville
27
8
0
23 Jun 2019
Machine Learning Testing: Survey, Landscapes and Horizons
Machine Learning Testing: Survey, Landscapes and Horizons
Jie M. Zhang
Mark Harman
Lei Ma
Yang Liu
VLM
AILaw
39
741
0
19 Jun 2019
Learning Compressed Sentence Representations for On-Device Text
  Processing
Learning Compressed Sentence Representations for On-Device Text Processing
Dinghan Shen
Pengyu Cheng
Dhanasekar Sundararaman
Xinyuan Zhang
Qian Yang
Meng Tang
Asli Celikyilmaz
Lawrence Carin
18
22
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
14
2
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
30
80
0
15 Jun 2019
Probing Multilingual Sentence Representations With X-Probe
Probing Multilingual Sentence Representations With X-Probe
Vinit Ravishankar
Lilja Øvrelid
Erik Velldal
22
20
0
12 Jun 2019
Lightweight and Efficient Neural Natural Language Processing with
  Quaternion Networks
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks
Yi Tay
Aston Zhang
Anh Tuan Luu
J. Rao
Shuai Zhang
Shuohang Wang
Jie Fu
S. Hui
23
55
0
11 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
22
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
24
168
0
06 Jun 2019
An Imitation Learning Approach to Unsupervised Parsing
An Imitation Learning Approach to Unsupervised Parsing
Bowen Li
Lili Mou
Frank Keller
25
24
0
05 Jun 2019
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